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"pairing_score:{\"ingredient_a\": \"lentil\", \"ingredient_b\": \"cumin\"}": "{\n \"resolved_a\": \"lentil\",\n \"resolved_b\": \"cumin\",\n \"pairing_score\": 0.2212,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"lentil\", \"ingredient_b\": \"turmeric\"}": "{\n \"resolved_a\": \"lentil\",\n \"resolved_b\": \"turmeric\",\n \"pairing_score\": 0.2194,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"lentil\", \"ingredient_b\": \"garlic\"}": "{\n \"resolved_a\": \"lentil\",\n \"resolved_b\": \"garlic\",\n \"pairing_score\": 0.2531,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"lentil\", \"ingredient_b\": \"onion\"}": "{\n \"resolved_a\": \"lentil\",\n \"resolved_b\": \"onion\",\n \"pairing_score\": 0.2502,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"lentil\", \"ingredient_b\": \"ginger\"}": "{\n \"resolved_a\": \"lentil\",\n \"resolved_b\": \"ginger\",\n \"pairing_score\": 0.1809,\n \"percentile_label\": \"high\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"lentil\", \"ingredient_b\": \"tomato\"}": "{\n \"resolved_a\": \"lentil\",\n \"resolved_b\": \"tomato\",\n \"pairing_score\": 0.2658,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"lentil\", \"ingredient_b\": \"lemon\"}": "{\n \"resolved_a\": \"lentil\",\n \"resolved_b\": \"lemon\",\n \"pairing_score\": 0.1221,\n \"percentile_label\": \"moderate\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"lentil\", \"ingredient_b\": \"yogurt\"}": "{\n \"resolved_a\": \"lentil\",\n \"resolved_b\": \"yogurt\",\n \"pairing_score\": 0.1923,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"neighbors:{\"ingredient\": \"tamarind\", \"top_k\": 12}": "{\n \"ingredient\": \"tamarind\",\n \"neighbors\": [\n {\n \"name\": \"garam_masala\",\n \"sim\": 0.3627,\n \"rank\": 1\n },\n {\n \"name\": \"culantro\",\n \"sim\": 0.3394,\n \"rank\": 2\n },\n {\n \"name\": \"vietnamese_coriander\",\n \"sim\": 0.3392,\n \"rank\": 3\n },\n {\n \"name\": \"kashmiri_chili\",\n \"sim\": 0.337,\n \"rank\": 4\n },\n {\n \"name\": \"asafoetida\",\n \"sim\": 0.3319,\n \"rank\": 5\n },\n {\n \"name\": \"turmeric\",\n \"sim\": 0.3275,\n \"rank\": 6\n },\n {\n \"name\": \"water_mimosa\",\n \"sim\": 0.3268,\n \"rank\": 7\n },\n {\n \"name\": \"kaffir_lime_leaf\",\n \"sim\": 0.3247,\n \"rank\": 8\n },\n {\n \"name\": \"shallot\",\n \"sim\": 0.3219,\n \"rank\": 9\n },\n {\n \"name\": \"curry_leaf\",\n \"sim\": 0.3208,\n \"rank\": 10\n },\n {\n \"name\": \"water_spinach\",\n \"sim\": 0.312,\n \"rank\": 11\n },\n {\n \"name\": \"lemongrass\",\n \"sim\": 0.3112,\n \"rank\": 12\n }\n ]\n}",
"pairing_score:{\"ingredient_a\": \"chickpea\", \"ingredient_b\": \"cumin\"}": "{\n \"resolved_a\": \"chickpea\",\n \"resolved_b\": \"cumin\",\n \"pairing_score\": 0.3032,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"chickpea\", \"ingredient_b\": \"garlic\"}": "{\n \"resolved_a\": \"chickpea\",\n \"resolved_b\": \"garlic\",\n \"pairing_score\": 0.3082,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"chickpea\", \"ingredient_b\": \"onion\"}": "{\n \"resolved_a\": \"chickpea\",\n \"resolved_b\": \"onion\",\n \"pairing_score\": 0.3173,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"chickpea\", \"ingredient_b\": \"ginger\"}": "{\n \"resolved_a\": \"chickpea\",\n \"resolved_b\": \"ginger\",\n \"pairing_score\": 0.1399,\n \"percentile_label\": \"high\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"chickpea\", \"ingredient_b\": \"tomato\"}": "{\n \"resolved_a\": \"chickpea\",\n \"resolved_b\": \"tomato\",\n \"pairing_score\": 0.3343,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"chickpea\", \"ingredient_b\": \"coconut milk\"}": "{\n \"resolved_a\": \"chickpea\",\n \"resolved_b\": \"coconut_milk\",\n \"pairing_score\": 0.2627,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"chickpea\", \"ingredient_b\": \"lemon\"}": "{\n \"resolved_a\": \"chickpea\",\n \"resolved_b\": \"lemon\",\n \"pairing_score\": 0.1606,\n \"percentile_label\": \"high\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"chickpea\", \"ingredient_b\": \"turmeric\"}": "{\n \"resolved_a\": \"chickpea\",\n \"resolved_b\": \"turmeric\",\n \"pairing_score\": 0.2915,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"neighbors:{\"ingredient\": \"tahini\", \"top_k\": 12}": "{\n \"ingredient\": \"tahini\",\n \"neighbors\": [\n {\n \"name\": \"labneh\",\n \"sim\": 0.3819,\n \"rank\": 1\n },\n {\n \"name\": \"chickpea\",\n \"sim\": 0.3351,\n \"rank\": 2\n },\n {\n \"name\": \"yogurt\",\n \"sim\": 0.3346,\n \"rank\": 3\n },\n {\n \"name\": \"halloumi\",\n \"sim\": 0.3165,\n \"rank\": 4\n },\n {\n \"name\": \"pita_bread\",\n \"sim\": 0.3156,\n \"rank\": 5\n },\n {\n \"name\": \"arugula\",\n \"sim\": 0.3128,\n \"rank\": 6\n },\n {\n \"name\": \"bulgur\",\n \"sim\": 0.3125,\n \"rank\": 7\n },\n {\n \"name\": \"brown_rice\",\n \"sim\": 0.3117,\n \"rank\": 8\n },\n {\n \"name\": \"pomegranate_molasses\",\n \"sim\": 0.3054,\n \"rank\": 9\n },\n {\n \"name\": \"hazelnut\",\n \"sim\": 0.3029,\n \"rank\": 10\n },\n {\n \"name\": \"cayenne_pepper\",\n \"sim\": 0.3013,\n \"rank\": 11\n },\n {\n \"name\": \"pumpkin_seed\",\n \"sim\": 0.2989,\n \"rank\": 12\n }\n ]\n}",
"pairing_score:{\"ingredient_a\": \"coffee\", \"ingredient_b\": \"cardamom\"}": "{\n \"resolved_a\": \"coffee\",\n \"resolved_b\": \"cardamom\",\n \"pairing_score\": 0.1723,\n \"percentile_label\": \"high\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"coffee\", \"ingredient_b\": \"cinnamon\"}": "{\n \"resolved_a\": \"coffee\",\n \"resolved_b\": \"cinnamon\",\n \"pairing_score\": 0.3159,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"coffee\", \"ingredient_b\": \"milk\"}": "{\n \"resolved_a\": \"coffee\",\n \"resolved_b\": \"milk\",\n \"pairing_score\": 0.3695,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"coffee\", \"ingredient_b\": \"sugar\"}": "{\n \"resolved_a\": \"coffee\",\n \"resolved_b\": \"sugar\",\n \"pairing_score\": 0.3101,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"coffee\", \"ingredient_b\": \"vanilla\"}": "{\n \"resolved_a\": \"coffee\",\n \"resolved_b\": \"vanilla\",\n \"pairing_score\": 0.4239,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"coffee\", \"ingredient_b\": \"orange\"}": "{\n \"resolved_a\": \"coffee\",\n \"resolved_b\": \"orange\",\n \"pairing_score\": 0.2549,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_a\": \"coffee\", \"ingredient_b\": \"nutmeg\"}": "{\n \"resolved_a\": \"coffee\",\n \"resolved_b\": \"nutmeg\",\n \"pairing_score\": 0.2269,\n \"percentile_label\": \"very high (>=p90)\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"neighbors:{\"ingredient\": \"cardamom\", \"top_k\": 12}": "{\n \"ingredient\": \"cardamom\",\n \"neighbors\": [\n {\n \"name\": \"cinnamon\",\n \"sim\": 0.466,\n \"rank\": 1\n },\n {\n \"name\": \"clove\",\n \"sim\": 0.4041,\n \"rank\": 2\n },\n {\n \"name\": \"nutmeg\",\n \"sim\": 0.3612,\n \"rank\": 3\n },\n {\n \"name\": \"anise\",\n \"sim\": 0.3514,\n \"rank\": 4\n },\n {\n \"name\": \"apricot\",\n \"sim\": 0.3489,\n \"rank\": 5\n },\n {\n \"name\": \"garam_masala\",\n \"sim\": 0.3289,\n \"rank\": 6\n },\n {\n \"name\": \"fennel_seed\",\n \"sim\": 0.3286,\n \"rank\": 7\n },\n {\n \"name\": \"syrup\",\n \"sim\": 0.3284,\n \"rank\": 8\n },\n {\n \"name\": \"hazelnut\",\n \"sim\": 0.3162,\n \"rank\": 9\n },\n {\n \"name\": \"mustard_seed\",\n \"sim\": 0.3145,\n \"rank\": 10\n },\n {\n \"name\": \"pistachio\",\n \"sim\": 0.3145,\n \"rank\": 11\n },\n {\n \"name\": \"spice_mix\",\n \"sim\": 0.3134,\n \"rank\": 12\n }\n ]\n}",
"find_pairings:{\"ingredients\": [\"chickpea\", \"cumin\", \"garlic\", \"onion\", \"tomato\", \"spinach\", \"lemon\"], \"limit\": 5}": "Pairing graph for: chickpea, cumin, garlic, onion, tomato, spinach, lemon\n(reference scores: p10=0.02, median=0.09, p90=0.19)\n\nCLUSTERS (primaries grouped by shared secondary connections):\n A [Herb - 8 nodes, dense]: olive oil (0.551), bay leaf (0.550), black pepper (0.544), oregano (0.544), parsley (0.528), coriander (0.520), paprika (0.515), bell pepper (0.515)\n\nCONNECTIONS (each primary -> its secondaries):\n olive oil: red pepper 0.53, cayenne pepper 0.49, salt 0.48, thyme 0.47, potato 0.47\n bay leaf: red pepper 0.51, salt 0.50, potato 0.48, cayenne pepper 0.47\n black pepper: red pepper 0.53, salt 0.49, potato 0.49, cayenne pepper 0.48\n oregano: red pepper 0.53, salt 0.48, cayenne pepper 0.48, potato 0.46\n parsley: red pepper 0.54, cayenne pepper 0.49, salt 0.49, white wine 0.49, thyme 0.49\n coriander: salt 0.50, red pepper 0.49, potato 0.47, chili powder 0.46, chili pepper 0.45\n paprika: red pepper 0.52, cayenne pepper 0.49, potato 0.48, salt 0.47\n bell pepper: red pepper 0.53, salt 0.49, potato 0.48, cayenne pepper 0.46\n\nBRIDGES (secondaries connecting multiple primaries):\n red pepper -> olive oil, bay leaf, black pepper, oregano, parsley, coriander, paprika, bell pepper (8 of 8 primaries)\n salt -> olive oil, bay leaf, black pepper, oregano, parsley, coriander, paprika, bell pepper (8 of 8 primaries)\n cayenne pepper -> olive oil, bay leaf, black pepper, oregano, parsley, paprika, bell pepper (7 of 8 primaries)\n potato -> bay leaf, black pepper, oregano, coriander, paprika, bell pepper, olive oil (7 of 8 primaries)\n thyme -> olive oil, parsley (2 of 8 primaries)",
":{\"arguments\": {\"ingredient1\": \"lemons\", \"ingredient2\": \"papaya\"}, \"tool\": \"pairing_score\"}": "Unknown tool: ",
":{\"arguments\": {\"ingredient\": \"papaya\", \"k\": 5}, \"tool\": \"neighbors\"}": "Unknown tool: ",
":{\"arguments\": {\"category\": \"aromatic\"}, \"tool\": \"list_targets\"}": "Unknown tool: ",
"pairing_score:{\"ingredient_a\": \"papaya\", \"ingredient_b\": \"lemon\"}": "{\n \"resolved_a\": \"papaya\",\n \"resolved_b\": \"lemon\",\n \"pairing_score\": 0.1692,\n \"percentile_label\": \"high\",\n \"all_pairs_range\": {\n \"p10\": 0.0197,\n \"p25\": 0.0521,\n \"median\": 0.092,\n \"p75\": 0.1392,\n \"p90\": 0.1899\n }\n}",
"pairing_score:{\"ingredient_1\": \"papaya\", \"ingredient_2\": \"chickpeas\"}": "Error executing tool pairing_score: 2 validation errors for _pairing_scoreArguments\ningredient_a\n Field required [type=missing, input_value={'ingredient_1': 'papaya'...redient_2': 'chickpeas'}, input_type=dict]\n For further information visit https://errors.pydantic.dev/2.13/v/missing\ningredient_b\n Field required [type=missing, input_value={'ingredient_1': 'papaya'...redient_2': 'chickpeas'}, input_type=dict]\n For further information visit https://errors.pydantic.dev/2.13/v/missing",
"neighbors:{\"ingredient\": \"papaya\", \"k\": 3}": "{\n \"ingredient\": \"papaya\",\n \"neighbors\": [\n {\n \"name\": \"loquat\",\n \"sim\": 0.3265,\n \"rank\": 1\n },\n {\n \"name\": \"mango\",\n \"sim\": 0.3236,\n \"rank\": 2\n },\n {\n \"name\": \"honeydew_melon\",\n \"sim\": 0.32,\n \"rank\": 3\n },\n {\n \"name\": \"snow_fungus\",\n \"sim\": 0.3198,\n \"rank\": 4\n },\n {\n \"name\": \"starfruit\",\n \"sim\": 0.3188,\n \"rank\": 5\n }\n ]\n}",
"list_targets:{\"target\": \"chickpeas\"}": "{\n \"angle_deg_primer\": \"`angle_deg` controls how far the seed is rotated toward the target on the unit sphere. Cosine-to-seed = cos(angle_deg). Useful guideposts: 0deg = seed unchanged (cos=1.00); 15deg = subtle nudge (cos=0.97); 30deg = mild morph (cos=0.87); 45deg = balanced morph (cos=0.71); 60deg = strong morph (cos=0.50); 90deg = orthogonal - the seed's identity is dropped entirely (cos=0).\",\n \"directions\": [\n {\n \"kind\": \"direction\",\n \"name\": \"East_Asian\",\n \"description\": \"Cuisine direction for East Asian.\",\n \"p10\": -0.1649,\n \"p90\": 0.3039\n },\n {\n \"kind\": \"direction\",\n \"name\": \"Eastern_European\",\n \"description\": \"Cuisine direction for Eastern European.\",\n \"p10\": -0.1466,\n \"p90\": 0.1034\n },\n {\n \"kind\": \"direction\",\n \"name\": \"Japanese\",\n \"description\": \"Cuisine direction for Japanese.\",\n \"p10\": -0.1359,\n \"p90\": 0.1896\n },\n {\n \"kind\": \"direction\",\n \"name\": \"Latin_American\",\n \"description\": \"Cuisine direction for Latin American.\",\n \"p10\": -0.1672,\n \"p90\": 0.1281\n },\n {\n \"kind\": \"direction\",\n \"name\": \"Mediterranean\",\n \"description\": \"Cuisine direction for Mediterranean.\",\n \"p10\": -0.2323,\n \"p90\": 0.206\n },\n {\n \"kind\": \"direction\",\n \"name\": \"South_Asian\",\n \"description\": \"Cuisine direction for South Asian.\",\n \"p10\": -0.0808,\n \"p90\": 0.071\n },\n {\n \"kind\": \"direction\",\n \"name\": \"Southeast_Asian\",\n \"description\": \"Cuisine direction for Southeast Asian.\",\n \"p10\": -0.1625,\n \"p90\": 0.193\n },\n {\n \"kind\": \"direction\",\n \"name\": \"Western_Atlantic\",\n \"description\": \"Cuisine direction for Western Atlantic.\",\n \"p10\": -0.2304,\n \"p90\": 0.183\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_balsamic\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.144,\n \"p90\": 0.2357\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_bitter\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.0877,\n \"p90\": 0.1429\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_citrus\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1538,\n \"p90\": 0.1247\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_earthy\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1449,\n \"p90\": 0.098\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_fatty\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1401,\n \"p90\": 0.0546\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_floral\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1306,\n \"p90\": 0.185\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_fruity\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.18,\n \"p90\": 0.1219\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_green\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1657,\n \"p90\": 0.122\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_meaty\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.2176,\n \"p90\": 0.1385\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_minty\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.0699,\n \"p90\": 0.1414\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_nutty\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1662,\n \"p90\": 0.1948\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_pungent\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.2114,\n \"p90\": 0.0891\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_savory\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1387,\n \"p90\": 0.1457\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_sour\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1285,\n \"p90\": 0.0774\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_spicy\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.144,\n \"p90\": 0.1622\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_sweet\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1261,\n \"p90\": 0.2254\n },\n {\n \"kind\": \"direction\",\n \"name\": \"cf_woody\",\n \"description\": \"Sensory descriptor (Cooks Foundry tags).\",\n \"p10\": -0.1259,\n \"p90\": 0.114\n },\n {\n \"kind\": \"direction\",\n \"name\": \"diet\",\n \"description\": \"Diet axis (animal-derived -> plant-derived).\",\n \"p10\": -0.188,\n \"p90\": 0.1107\n },\n {\n \"kind\": \"direction\",\n \"name\": \"nova\",\n \"description\": \"NOVA processing axis (1 = whole foods, 4 = ultra-processed).\",\n \"p10\": -0.1471,\n \"p90\": 0.2193\n },\n {\n \"kind\": \"direction\",\n \"name\": \"usda_caloric_density\",\n \"description\": \"USDA nutrient axis.\",\n \"p10\": -0.2174,\n \"p90\": 0.1355\n },\n {\n \"kind\": \"direction\",\n \"name\": 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