| {"id": "a352061134daa2c47861b8c4216ee5482a93be1d", "query": "BPM Governance: An Exploratory Study in Public Organizations", "target_ids": ["38d555bfe13b61e838364016219c7e42fb5dc919", "444b9f2fff2132251a43dc4a4f8bd213e7763634", "79a2e622245bb4910beb0adbce76f0a737f42035", "8687ee7335f6d9813ba9e4576ce25b56e57b16d1", "56a475b4eff2e5bc52cf140d23e6e845ff29cede"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "f4195462f27158c4afd86ca364347dacfd228bdd", "query": "Towards an Information Security Framework for the Automotive Domain", "target_ids": ["7b1e18688dae102b8702a074f71bbea8ba540998", "a608bd857a131fe0d9e10c2219747b9fa03c5afc", "cdbb46785f9b9acf8d03f3f8aba58b201f06639f", "26e6b1675e081a514f4fdc0352d6cb211ba6d9c8", "59fa9d40d129f18f1f3193f65935fcb9e2042afb"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "c1173b8d8efb8c2d989ce0e51fe21f6b0b8d1478", "query": "Semi-Supervised Image-to-Video Adaptation for Video Action Recognition", "target_ids": ["138c86b9283e4f26ff1583acdf4e51a5f88ccad1", "321f14b35975b3800de5e66da64dee96071603d9", "9b505dd5459fb28f0136d3c63793b600042e6a94", "0ef550dacb89fb655f252e5b17dbd5d643eb5ac1", "15b2c44b3868a1055850846161aaca59083e0529"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "3713243ded59fd9b0a4428bd101616bad7393311", "query": "Enablers and Barriers to the Organizational Adoption of Sustainable Business Practices", "target_ids": ["14316b885f65d2197ce8c6d4ab3ee61fdab052b8", "609ab78579f2f51e4677715c32d3370899bfd3a7", "7abeaf172af1129556ee8b3fcbb2139172e50bdf", "93dbcdc45336f4d26575e8273b3d70f7a1a260b2", "bc5e20c9e950a5dcedbe1caacc39afe097e3a6b0"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "0ce7927d613e66a2062516e9e85e1b9a36d54029", "query": "The leadership of emergence : A complex systems leadership theory of emergence at successive organizational levels", "target_ids": ["0407d72c2e773aec18a4be6e2bcbdf1f91f032bb", "1e21c514f89375098dec5b947aa5f6bcdd0377c5", "2d59338108d3333890089305f15a60b6e5f00c54", "609ab78579f2f51e4677715c32d3370899bfd3a7", "7abeaf172af1129556ee8b3fcbb2139172e50bdf"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "c46d80f83813fba0e8363a0ab36a19fba062540e", "query": "Learning Actionable Representations with Goal-Conditioned Policies", "target_ids": ["21c9dd68b908825e2830b206659ae6dd5c5bfc02", "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "39b7007e6f3dd0744833f292f07ed77973503bfd", "5b44f587c4c7611d04e304fd7fa37648338d0cbf", "647cb3825baecb6fab8b098166d5a446f7711f9b"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "2094f315289ccf9b676e0790fb3dd1bc4acad98c", "query": "Introducing MVTec ITODD \u2014 A Dataset for 3D Object Recognition in Industry", "target_ids": ["242caa8e04b73f56a8d4adae36028cc176364540", "3ffce42ed3d7ac5963e03d4b6e32460ef5b29ff7", "883b2b981dc04139800f30b23a91b8d27be85b65", "9bc8aaaf23e2578c47d5d297d1e1cbb5b067ca3a", "dbd66f601b325404ff3cdd7b9a1a282b2da26445"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "30ef88ee401f70cf43b330b475d30f7f5e722630", "query": "Face recognition under partial occlusion using HMM and Face Edge Length Model", "target_ids": ["147fe6bfc76f30ccacc3620662511e452bc395f6", "26d172f0a4d7e903ce388f3159059f9c5463e5c5", "55206f0b5f57ce17358999145506cd01e570358c", "5985014dda6d502469614aae17349b4d08f9f74c", "1270044a3fa1a469ec2f4f3bd364754f58a1cb56"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "901a4c9388b3cb9d30edc3e4a7ea7efb0b4e228b", "query": "Question Answering in the Context of Stories Generated by Computers", "target_ids": ["0a37a647a2f8464379a1fe327f93561c90d91405", "1986349b2df8b9d4064453d169d69ecfde283e27", "03a00248b7d5e2d89f5337e62c39fad277c66102", "2766913aabb151107b28279645b915a3aa86c816", "516bd2e2bfc7405568f48560e02154135616374c"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "88ee8b13451deac38384c9f31196227f2535aa65", "query": "Stochastic Geometric Analysis of User Mobility in Heterogeneous Wireless Networks", "target_ids": ["3dd9793bc7b1f97115c45e90c8874f786262f466", "e7b4ea66dff3966fc9da581f32cb69132a7bbd99", "09168f7259e0df1484115bfd44ce4fdcafdc15f7", "0bfc3626485953e2d3f87854a00a50f88c62269d"], "scores": [1, 1, 1, 1]} |
| {"id": "ef1fbd95c7220003835b839c47bdf3fdb7e54b7b", "query": "Students' perceptions of using Facebook as an interactive learning resource at university", "target_ids": ["461ac81b6ce10d48a6c342e64c59f86d7566fa68", "c03fb606432af6637d9d7d31f447e62a855b77a0", "171071069cb3b58cfe8e38232c25bfa99f1fbdf5", "2d2b1f9446e9b4cdb46327cda32a8d9621944e29", "5e30227914559ce088a750885761adbb7d2edbbf"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "349099074825c262b3f7c150ac8d470aabcebada", "query": "Breaking the Barrier of Transactions: Mining Inter-Transaction Association Rules", "target_ids": ["1f9ede76dbbd6caf7e3877918fae0d421c6f180c", "288c67457f09c0c30cadd7439040114e9c377bc3", "2b0750d16db1ecf66a3c753264f207c2cb480bde", "3a932716ed323b247a828bd0fd8ae9b2ee0197b2", "780e2631adae2fb3fa43965bdeddc0f3b885e20d"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "39959bc480d2972d8bb925708e6e8ad59664bcdb", "query": "Control theoretic approach to tracking radar: First step towards cognition", "target_ids": ["2e268b70c7dcae58de2c8ff7bed1e58a5e58109a", "8e49caba006e1832a70162f3a93a31be25927349", "f584c3d1c2d0e4baa7f8fc72fcab7b9395970ef5"], "scores": [1, 1, 1]} |
| {"id": "3f64d4fab50db41c0145759b7410fb4c8b977452", "query": "Operational Flexibility and Financial Hedging: Complements or Substitutes?", "target_ids": ["2c56368255ca6a86ef0a26466b9d0a2425f55e9d", "2d7622afe72922de5c430014965cfddf33692885", "df7c11bf2eaec672904440901efaeba2ef601fef", "3ab1c861c4be472a9b672214f472e37ad82931bb", "7752e0835506a6629c1b06e67f2afb1e5d2bb714"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "548a49c717dc1ce0263ceff445b5609361c26cde", "query": "Decision trees for predicting the academic success of students", "target_ids": ["1b3b22b95ab55853aff3ea980a5b4a76b7537980", "26d673f140807942313545489b38241c1f0401d0", "6e633b41d93051375ef9135102d54fa097dc8cf8", "8cfe24108b7f73aa229be78f9108e752e8210c36", "cc5c84c1c876092e6506040cde7d2a5b9e9065ff"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "063c6ae786c34d3722c6d9060df6339e246bbc3b", "query": "Texture Synthesis Using Convolutional Neural Networks", "target_ids": ["061356704ec86334dbbc073985375fe13cd39088", "14318685b5959b51d0f1e3db34643eb2855dc6d9", "17e9d3ba861db8a6d323e1410fe5ca0986d5ad6a", "356827905c70ef763e3aa373f966fe6d8cf753f9", "4281046803e75e1ad7144bc1adec7a3757de7e8d"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "5cd7b83eb30797aa8bf49b4b7a3f6a433aca4a75", "query": "SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification", "target_ids": ["0541d5338adc48276b3b8cd3a141d799e2d40150", "0558c94a094158ecd64f0d5014d3d9668054fb97", "bfcf14ae04a9a326f9263dcdd30e475334a96d39", "d920943892caa0bc9f300cb9e3b7f3ab250f78c9", "e275f643c97ca1f4c7715635bb72cf02df928d06"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "c9dee006f3b6b2b30e422ad2fd8abb86c751376d", "query": "Hidradenitis Suppurativa in Children Treated with Finasteride-A Case Series.", "target_ids": ["60afb1828de4efa1588401f87caa55ac3a0cd820", "7f60b70dede16fe4d7b412674929b4805c9b5c95", "8b85f287c144aad5ff038ec0b140e0c4e210990b", "e72e10ad6228bd3dcee792f6f571c5ffed37266f", "f4f6ae0b10f2cc26e5cf75b4c39c70703f036e9b"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "a95fd5d561bc2996b4d6d5574139ad8162cb78ce", "query": "Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques", "target_ids": ["48327aaf21902c09a92b90b1122f5bf2de62f56e", "5cf52b914bfed5aa5babf340b489392c0d961d38", "20faa2ef4bb4e84b1d68750cda28d0a45fb16075", "46319a2732e38172d17a3a2f0bb218729a76e4ec"], "scores": [1, 1, 1, 1]} |
| {"id": "e0a8b67880070624ef8787a08bbbd5aa178d65ac", "query": "Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model", "target_ids": ["3e597e492c1ed6e7bbd539d5f2e5a6586c6074cd", "4e88de2930a4435f737c3996287a90ff87b95c59", "592a6d781309423ceb95502e92e577ef5656de0d", "6411da05a0e6f3e38bcac0ce57c28038ff08081c", "9f291ce2d0fc1d76206139a40a859283674d8f65"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "071961fc3d61b893c12f07abfa2906859152e3a9", "query": "Learning to Rank Non-Factoid Answers: Comment Selection in Web Forums", "target_ids": ["03ff3f8f4d5a700fbe8f3a3e63a39523c29bb60f", "07f3f736d90125cb2b04e7408782af411c67dd5a", "0b3cfbf79d50dae4a16584533227bb728e3522aa", "1f6ba0782862ec12a5ec6d7fb608523d55b0c6ba", "25ac694fa23f733679496a139e9168472e267865"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "d212691257354c201a32729b997ede447e498640", "query": "Novel DC-DC Multilevel Boost Converter", "target_ids": ["3939607e665159002391082cd4a8952374d6bd99", "61c901789c7fb4721aae63769d7c4eb0e27a7e45", "bb004d2d04ce6872d0f7965808ae4867aa037f8b", "c29ac3455cb73a777e1908b2c2c09b1d14ea1e9e", "ff5c193fd7142b3f426baf997b43937eca1bbbad"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "d406239de17bbb4f66d4c835f2a5f1be977b4131", "query": "Affordances as a Framework for Robot Control", "target_ids": ["2ffd5c401a958e88c80291c48738d21d96942c1a", "0ef550dacb89fb655f252e5b17dbd5d643eb5ac1", "11291b24e7ef097593f7960d66a5863a97f996aa", "788121f29d86021a99a4d1d8ba53bb1312334b16"], "scores": [1, 1, 1, 1]} |
| {"id": "f7f32e86c23a902ac55fba8b8191026f563bec5b", "query": "Subjectivity and Sentiment Analysis of Modern Standard Arabic", "target_ids": ["310b72fbc3d384ca88ca994b33476b8a2be2e27f", "59d9160780bf3eac8c621983a36ff332a3497219", "7c89cbf5d860819c9b5e5217d079dc8aafcba336", "9141d85998eadb1bca5cca027ae07670cfafb015", "c2ac213982e189e4ad4c7f60608914a489ec9051"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "f6c1eda98cef66438dc89fd9a3d4fcc0a795418a", "query": "Planar broadband annular-ring antenna with circular polarization for RFID system", "target_ids": ["5ab321e0ea7893dda145331bfb95e102c0b61a5d", "65077651b36a63d3ca4184137df348cc8b29776a", "6f3ffb1a7b6cb168caeb81a23b68bbf99fdab052", "838b107445e72d903f2217946c73a5d3d1e4344e", "9639aa5fadb89ea5e8362dad52082745012c90aa"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "546b3592f59b3445ef12fba506b729c832198c33", "query": "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network", "target_ids": ["1827de6fa9c9c1b3d647a9d707042e89cf94abf0", "2315fc6c2c0c4abd2443e26a26e7bb86df8e24cc", "3c5c3e264e238fe1b76cfe528a0ef26b97f7309b", "470a6b517b36ed5c8125f93bb8a82984e8835c55", "77c512cbb832436e1a35ad434e6bb3d763799763"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "83591848730f3fc7f208d4646ed4338c237bd161", "query": "Providing Context-Aware Security for IoT Environments Through Context Sharing Feature", "target_ids": ["2c51c8da2f82a956e633049616b1bb7730faa2da", "3406b672402828f2522b57e9ab11e0ae9c76ab2e", "e658f77af84415bfa794202c433a22d08c91bed2", "1c5a40cff6297bd14ecc3e0c5efbae76a6afce5b", "2b00e526490d65f2ec00107fb7bcce0ace5960c7"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "fe76c167920898330a66e3f2509ff1cd41e231bc", "query": "Comparative abilities of Microsoft Kinect and Vicon 3D motion capture for gait analysis.", "target_ids": ["6f9ead16c5464a989dee4cc337d473e353ce54c7", "8abbc8a8bdb2c1d7193ecb2a49cb8f9344ce4141", "386a8419dfb6a52e522cdab70ee8449422e529ba", "3b8a4cc6bb32b50b29943ceb7248f318e589cd79", "886431a362bfdbcc6dd518f844eb374950b9de86"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "3ad8328b066bedca77c858a399a77521563d5c99", "query": "Root Exploit Detection and Features Optimization: Mobile Device and Blockchain Based Medical Data Management", "target_ids": ["1717dee0e8785d963e0333a0bb945757444bb651", "62a7cfab468ef3bbd763db8f80745bd93d2be7dd", "e2d76fc1efbbf94a624dde792ca911e6687a4fd4", "08d32340e0e6aa50952860b90dfba2fe4764a85a", "12ef153d9c7ccc374d56acf34b59fb2eaec6f755"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "a91eca9d11755108c8c1a4354ed5b6c5a89ca4f8", "query": "FingerCode: A Filterbank for Fingerprint Representation and Matching", "target_ids": ["86c9a59c7c4fcf0d10dbfdb6afd20dd3c5c1426c", "0be360a2964c4bb91aaad0cc6d1baa6639746028", "4d899ebf7a3004fe550842830f06b4600d9c6230", "5140f1dc83e562de0eb409385480b799e9549d54", "6513888c5ef473bdbb3167c7b52f0985be071f7a"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "337f48a82d9d2739d35b41cfc4e8cd3dc906639d", "query": "Accelerating aggregation using intra-cycle parallelism", "target_ids": ["08639cd6b89ac8f375cdc1076b9485ac9d657083", "0a5033c0b2bb2421f8c46e196fb0fb1464a636b6", "30b1293e39c52ddd0e2a617de47c1ad843621258", "313e8120c31fda6877ea426d8a3be9bcf1b6e088", "370e1fcea7074072fe5946d3e728affd582a9a44"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "a2707a57828b95443a7f3ef8153576299a2ad707", "query": "IoT based autonomous percipient irrigation system using raspberry Pi", "target_ids": ["414b0d139d83024d47649ba37c3d11b1165057d6", "6ed591fec03437ed2bf7479d92f49833e3851f71", "8075c73fd8b13fa9663230a383f5712bf210ebcf", "ebf9bfbb122237ffdde5ecbbb292181c92738fd4", "59f153ddd37e22af153aa0d7caf3ec44053aa8e8"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "eb240f463fa57740986a92ee744c3ad75f8228e9", "query": "Intrusion Detection : Support Vector Machines and Neural Networks", "target_ids": ["5678ade24d18e146574ad5c74b64b9030ed8cf44", "8bc68ff091ee873c797b8b2979139b024527cb59", "bdf67ee2a13931ca2d5eac458714ed98148d1b34", "eeb1a1e0cab8d809b5789d04418dc247dca956cc", "1f9ede76dbbd6caf7e3877918fae0d421c6f180c"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "01d208b33561362f7714f714d3bc4a1f7aa1637c", "query": "Bank distress in the news: Describing events through deep learning", "target_ids": ["052b1d8ce63b07fec3de9dbb583772d860b7c769", "0b3cfbf79d50dae4a16584533227bb728e3522aa", "0c04909ed933469246defcf9aca2b71ae8e3f623", "3cfbb77e5a0e24772cfdb2eb3d4f35dead54b118", "9ec20b90593695e0f5a343dade71eace4a5145de"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "5bb6b779de7929c573f39cd84169cafbd72e5bae", "query": "Could We Issue Driving Licenses to Autonomous Vehicles?", "target_ids": ["2f991be8d35e4c1a45bfb0d646673b1ef5239a1f", "546add32740ac350dda44bab06f56d4e206622ab", "8db9df2eadea654f128c1887722c677c708e8a47", "a4d513cfc9d4902ef1a80198582f29b8ba46ac28", "b5a047dffc3d70dce19de61257605dfc8c69535c"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "8f03f545ff791a70455ad4624208357e41dcfc0c", "query": "Unlinkable Coin Mixing Scheme for Transaction Privacy Enhancement of Bitcoin", "target_ids": ["14829636fee5a1cf8dee9737849a8e2bdaf9a91f", "175de84e1c7ce58cd969372a54461d7499086d46", "2327ad6f237b37150e84f0d745a05565ebf0b24d", "5ae4e852d333564923e1b6caf6b009729df6ca6a", "af3c5d46ea4f54a323017c7c430e4d0cc45e4abc"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "4e3fb831a5d2961f2829da4477856b6a9b7f8930", "query": "SynopSys: large graph analytics in the SAP HANA database through summarization", "target_ids": ["1976c9eeccc7115d18a04f1e7fb5145db6b96002", "2b211f9553ec78ff17fa3ebe16c0a036ef33c54b", "2f52cbef51a6a8a2a74119ad821526f9e0b57b39", "3a011bd31f1de749210b2b188ffb752d9858c6a6", "4b573416043cf9cff42cbb7b753993c907a2be4a"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "9af1f7b6d79e6ce314d1842a8d32402328fcaca7", "query": "Variance Reduction for Faster Non-Convex Optimization", "target_ids": ["0c3751db5a24c636c1aa8abfd9d63321b38cfce5", "16611312448f5897c7a84e2f590617f4fa3847c4", "24424918dc93c016deeaeb86a01c8bfc01253c9b", "680cbbc88d537bd6f5a68701b1bb0080a77faa00", "9fe5a7a24ff81ba2b6769e811b6ab47188a45242"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "1eed0e731008236ddc956ffbbe9051e13d54f2ec", "query": "Smart antennas for satellite communications on the move", "target_ids": ["48d103f81e9b70dc2de82508973bc35f61f8ed01", "7294d9fa5c5524a43619ad7e52d132a90cfe91bb", "95ded03f3eb9d60b3e3d51931147d5049be4ba5e", "b40b8a2b528a88f45bba5ecd23cec02840798e72", "d7260b8cf64aca3f538080369390490830a1e248"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "2a8bcf35e6b5b3910eea160b3a1fb3e6bcb3966e", "query": "Fast Sparse Gaussian Markov Random Fields Learning Based on Cholesky Factorization", "target_ids": ["04f39720b9b20f8ab990228ae3fe4f473e750fe3", "1b65af0b2847cf6edb1461eda659f08be27bc76d", "2060441ed47f6cee9bab6c6597a7709836691da3", "4a20823dd4ce6003e31f7d4e0649fe8c719926f2", "25c760c11c7803b2aefd6b6ae36f15908f76b544"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "4ceb63d79341ba3caa08bd1c6c141478d32a8244", "query": "Design of advanced digital heartbeat monitor using basic electronic components", "target_ids": ["00514b5cd341ef128d216e86f2a795f218ef83db", "543ad4f3b3ec891023af53ef6fa2200ce886694f", "e35c466be82e1cb669027c587fb4f65a881f0261", "149d8514b026cca3b31ef8379e78aeb7c7795eb7", "c2c465c332ec57a4430ce5f2093915b4ded497ff"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "6519bf5580fcdcc9c50fd72c6c8dc5d040d443e8", "query": "A survey of multi-source energy harvesting systems", "target_ids": ["34feeafb5ff7757b67cf5c46da0869ffb9655310", "3689220c58f89e9e19cc0df51c0a573884486708", "4833d690f7e0a4020ef48c1a537dbb5b8b9b04c6", "61c1d66defb225eda47462d1bc393906772c9196"], "scores": [1, 1, 1, 1]} |
| {"id": "7d132ec7b7f94fe1397f6c1e8e5bb4fa42806ad1", "query": "What to believe: Bayesian methods for data analysis", "target_ids": ["7a1e584f9a91472d6e15184f1648f57256216198", "062ece9dd7019b0a3ca7e789acf1dee57571e26d", "21e2150b6cc03bc6f51405473f57efff598c77bc", "6377fee5214d9ace4ce629c9bfe463bdebbd889f", "87f8bcae68df7ba371baec5d0a2283ecb366b0fc"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "de1505819e145b5c22a6e09002510413019f7228", "query": "DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment", "target_ids": ["14318685b5959b51d0f1e3db34643eb2855dc6d9", "373cf414cc038516a2cff11d7caafa3ff1031c6d", "40f6207b722c739c04ba5a41f7b22d472aeb08ec", "54dd77bd7b904a6a69609c9f3af11b42f654ab5d", "62f9c50666152cca170619bab5f2b4da17bc15e1"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "59dca5c15c275f26c7ae34fc940449aeb918c68b", "query": "Collaborative video reindexing via matrix factorization", "target_ids": ["54e7e6348fc8eb27dd6c34e0afbe8881eeb0debd", "6ab5acb5f32ef2d28f91109d40e5e859a9c101bf", "dc9681dbb3c9cc83b4636ec97680aa3326a7e7d0", "005aea80a403da18f95fcb9944236a976d83580e", "023f6fc69fe1f6498e35dbf85932ecb549d36ca4"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "484550334c626a749bada57e51a0db4a29085f87", "query": "Global outer-urban navigation with OpenStreetMap", "target_ids": ["2a748cc66531dd7f4d122e66cc0cb461d1205fc0", "7133ed98bfefa2e7a177f88e8c100562fca82b3a", "b833ee2d196180e11eb4d93f793acd66ff1e2dbe", "0f8c30445f3d994ac220dd101de6999cb6eaf911", "1233f38bddaebafe9f4ae676bb2f8671f6c4821a"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "c20b4068be640ebaffbc56382c3e4e0bcf62664e", "query": "Factored Language Models and Generalized Parallel Backoff", "target_ids": ["12f661171799cbd899e1ff4ae0a7e2170c3d547b", "197a7fc2f8d57d93727b348851b59b34ce990afd", "b9d5f2da9408d176a5cfc6dc0912b6d72e0ea989", "0f9b608cd19afeb083e0244df4cd0db1a00e029b", "395f4b41578c3ff5139ddcf9e90eb60801b50394"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "20534da8c7ee7063cbb32620d53e7322f90be2e0", "query": "First Demonstration of 28 GHz and 39 GHz Transmission Lines and Antennas on Glass Substrates for 5G Modules", "target_ids": ["09dc808c3249bbacb28a1e7b9c234cb58ad7dab4", "1bb6b92e874bf7cab8748a9acbb71a8dcda9ec65", "42cf4dd14f07cf34d5cad14fea5c691f31ab19ef", "4a97f8d83c5cc523110beb11913ea5fb2a4271fe", "76d7ddd030ef5ab4403a53caf2b46de89af71544"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "8aba3628ad8c9cec11b2b518a96b883bda8b3cbb", "query": "Broadband millimetre-wave passive spatial combiner based on coaxial waveguide", "target_ids": ["0e5c8094d3da52340b58761d441eb809ff96743f", "14fae9835ae65adfdc434b7b7e761487e7a9548f", "47fdb5ec9522019ef7e580d59c262b3dc9519b26", "68218edaf08484871258387e95161a3ce0e6fe67", "db884813d6d764aea836c44f46604128735bffe0"], "scores": [1, 1, 1, 1, 1]} |
| {"id": "458f1428273254fc5dd399f3c104f507680ddd54", "query": "Measuring discrimination in algorithmic decision making", "target_ids": ["04f39720b9b20f8ab990228ae3fe4f473e750fe3", "17fac85921a6538161b30665f55991f7c7e0f940", "2a622720d4021259a6f6d3c6298559d1b56e7e62", "37c3303d173c055592ef923235837e1cbc6bd986", "4556f3f9463166aa3e27b2bec798c0ca7316bd65"], "scores": [1, 1, 1, 1, 1]} |
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