{"id":"W44631243","doi":"10.69645/rwsa9166","title":"India: the epicentre of global TB control","year":2013,"lang":"en","type":"article","venue":"˜The œbiomedical & life sciences collection.","topic":"HIV/AIDS Impact and Responses","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Epicenter; Tuberculosis; Control (management); Computer science; Geology; Medicine; Seismology; Artificial intelligence","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":[0.0006107553,0.0005165898,0.0004846437,0.002017558,0.0007256828,0.001279677,0.001268702,0.0005359049,0.02511283],"category_scores_gemma":[0.002205909,0.0003551012,0.0002870875,0.00450626,0.0003747702,0.0005029562,0.001366874,0.0008812094,0.007842094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543601,"about_ca_system_score_gemma":0.009086265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1161664,"about_ca_topic_score_gemma":0.1411733,"domain_scores_codex":[0.9993522,0.0001578484,0.00005131425,0.00005940715,0.0001495656,0.0002296841],"domain_scores_gemma":[0.9976642,0.0003129632,0.0002305051,0.0003340697,0.0007904224,0.0006679236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0006705871,0.0001567444,0.1008078,0.001023396,0.0001128567,0.00119457,0.001186251,0.0009492421,0.0009582951,0.004640644,0.8175635,0.0707361],"study_design_scores_gemma":[0.0001748688,0.0001583487,0.5655819,0.0003347382,0.0001244974,0.001107753,0.002721618,0.0006717254,0.001536762,0.001246864,0.4262672,0.00007381489],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.07621253,0.002071356,0.001534614,0.00804548,0.0008575672,0.0008111562,0.8358982,0.00196249,0.07260651],"genre_scores_gemma":[0.4603077,0.0049223,0.00999046,0.005414214,0.001067407,0.002503782,0.3698818,0.0008810015,0.1450313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1161664,"threshold_uncertainty_score":0.2309805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593257676584631,"score_gpt":0.2387279089949032,"score_spread":0.2227953322290569,"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."}}