{"id":"W2098580478","doi":"10.5214/ans.0972.7531.180402","title":"Postulating an Affinity: Amartya Sen on Capability and Tagore","year":2012,"lang":"en","type":"article","venue":"Annals of Neurosciences","topic":"Indian History and Philosophy","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001871118,0.0003754858,0.0003294528,0.0006394561,0.01180401,0.007742891,0.0006529096,0.002424876,0.007558164],"category_scores_gemma":[0.003938887,0.0002621791,0.0001650913,0.0008293873,0.0177281,0.01051739,0.005391342,0.005923523,0.001862959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004852899,"about_ca_system_score_gemma":0.003085711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00748301,"about_ca_topic_score_gemma":0.01924992,"domain_scores_codex":[0.9982238,0.0009448184,0.00003580657,0.0002251395,0.0002884607,0.0002819535],"domain_scores_gemma":[0.9978992,0.0009123266,0.0001491119,0.000215666,0.0004121961,0.0004115386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002638153,0.00002264612,0.000487495,0.00005106312,0.000007475043,0.0006252,0.08784575,0.00003112081,0.0002828348,0.80822,0.08800037,0.0143997],"study_design_scores_gemma":[0.000008362103,0.00003209137,0.001193878,0.0003027539,0.00001038943,0.0007408102,0.06090511,0.0001002075,0.0003457568,0.143563,0.7927632,0.00003439987],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03963597,0.01416412,0.002563356,0.2352604,0.002612775,0.00002191586,0.00004517693,0.00007370914,0.7056226],"genre_scores_gemma":[0.8179972,0.006245905,0.001050555,0.03773997,0.000642198,0.00004637197,0.00002666934,0.0001740558,0.1360771],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01180401,"threshold_uncertainty_score":0.03521049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2752158444881109,"score_gpt":0.3289248271332607,"score_spread":0.05370898264514973,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}