{"id":"W7164927645","doi":"10.1080/17153379.2017.12557814","title":"Growing the Tree of Science: Homi Bhabha and the Tata Institute of Fundamental Research.","year":2017,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"History of Science and Medicine","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Tree (set theory); Tree of life (biology); Family tree","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.004474763,0.0008376469,0.0007012041,0.001959247,0.009492122,0.005674969,0.001425177,0.003206282,0.01556966],"category_scores_gemma":[0.008148144,0.0004957757,0.00030741,0.001938394,0.00578911,0.0123323,0.005323861,0.0105911,0.004298357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003649498,"about_ca_system_score_gemma":0.005774319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01033562,"about_ca_topic_score_gemma":0.03567631,"domain_scores_codex":[0.9982733,0.0007992165,0.00005507239,0.0002321563,0.0004100831,0.0002301876],"domain_scores_gemma":[0.9949858,0.001598529,0.0002233757,0.0002259816,0.001384159,0.001582137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006367415,0.00005943705,0.0005145074,0.0001835893,0.00001822389,0.0001944451,0.007964638,0.00005103857,0.0002783043,0.1073087,0.8555003,0.02786323],"study_design_scores_gemma":[0.00001232368,0.00001683967,0.0005725242,0.0003337606,0.00001209617,0.0001367639,0.004351243,0.00009667834,0.0001894194,0.03794255,0.9563134,0.00002242126],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.003040745,0.1692727,0.002117653,0.7578753,0.03217043,0.00003546491,0.0002426744,0.0001396082,0.03510547],"genre_scores_gemma":[0.1711554,0.1870552,0.01317282,0.254538,0.03121956,0.0003052744,0.0005597233,0.0009660827,0.3410279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9905079,"threshold_uncertainty_score":0.0520857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08675417244703842,"score_gpt":0.3097857900968781,"score_spread":0.2230316176498396,"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."}}