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[ "<thought>\nThe text is mid-sentence, having written “The novel contributions” and is clearly about to enumerate the contributions of the paper. The next 8 tokens are most likely to begin with a colon or a verb like “are”, followed by a list of key contributions. Given the academic style and the context, the next t...
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[ "<thought>\nThe cut occurs mid-sentence at the end of \"ii) each concise representation set is linked to the respective\". The next 8 tokens are likely to continue the parallel structure of the contribution list, elaborating on the linkage, possibly specifying the dataset, domain, or model component. The phrase \"r...
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[ "<thought>\nThe text is mid-sentence, ending at \"to the (medical) experts and\", with the sentence structure clearly signaling the start of a list or enumeration of stakeholders or roles who benefit from the transparency of the method. The next tokens will almost certainly complete this clause by naming the immedi...
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[ "<thought>\nThe cut occurs mid-sentence, within the phrase \"we are, therefore, able to show - to the (medical) experts and users/patients - which were the\". The structure suggests the authors are about to specify *which specific features or data elements* were used in the decision-making process, likely introduci...
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[ "<thought>\nThe cut occurs mid-sentence, in the middle of a contribution statement in item ii). The sentence is describing the ability to show similar cases to medical experts and users/patients. The next few tokens will likely continue the clause, specifying what is shown — likely the \"features,\" \"representatio...
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[ "<thought>\nThe cut occurs mid-sentence, in the middle of the fourth contribution listed under \"ii) we apply the proposed approach to the following application domains: i) for unified Parkinson's disease prediction, over different datasets,\". The next tokens must complete the current clause, likely specifying the...
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[ "<thought>\nThe cut occurs mid-sentence, in the middle of a discussion about optimization or training strategies in a particle-based method, likely in the context of neural networks or ensemble models. The phrase \"instead of the weight space\" suggests a comparison or contrast with a conventional approach. The nex...
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[ "<thought>\nThe cut occurs mid-variable in the definition of the function $g$. The next tokens will almost certainly complete the variable name, likely as ${\\bm{w}}$, given the context of weight vectors and the notation used so far. Following this, the sentence will likely introduce the functional kernel or explai...
[ 0 ]
[ false ]
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[ -67.81520080566406 ]
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false
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[ "<thought>\nThe next 8 tokens are likely to be \"with kernel width $\\sigma$\"), continuing the specification of the RBF kernel being introduced. The sentence is mid-definition, describing the functional kernel $k_f$, and the grammatical structure indicates that a parameter of the RBF kernel (such as its width) wil...
[ 0 ]
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[ -15.761371612548828 ]
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false
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[ "<thought>\nThe next 8 tokens will almost certainly begin with a closing parenthesis or bracket to complete the citation reference, likely “bishop2006pattern]}. We can then expect a continuation that introduces a new concept or proposition, such as a definition, theorem, or key result, as is typical after citing fo...
[ 0 ]
[ false ]
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[ -51.46549987792969 ]
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false
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null
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null
[]
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null
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null
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[]
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[]
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false
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[ "<thought>\nThe cut occurs in the middle of a sentence, immediately after \"due to\", and the sentence is discussing the non-injective nature of the map $g({\\bm{x}},\\cdot)$. The next few tokens are likely to provide the reason for this non-injectivity, which is a standard concern in function space analysis. Given...
[ 0 ]
[ false ]
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[ -15.071626663208008 ]
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