{"id":"W4402151108","doi":"10.53879/id.61.07.p0005","title":"GLAD TIDINGS FOR INDIAN PHARMACEUTICAL INDUSTRY","year":2024,"lang":"en","type":"article","venue":"INDIAN DRUGS","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical trial; Government (linguistics); Waiver; Medicine; Procurement; European union; Approved drug; Business; Political science; Pharmacology; Drug; Law; International trade","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005789395,0.00146889,0.001232594,0.002074006,0.005883405,0.02365548,0.002417001,0.01938724,0.15858],"category_scores_gemma":[0.01996774,0.0007161761,0.002064758,0.002455427,0.004011393,0.01129216,0.00582706,0.02664694,0.1459621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005343606,"about_ca_system_score_gemma":0.01458818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00808729,"about_ca_topic_score_gemma":0.01183773,"domain_scores_codex":[0.9937629,0.0008721188,0.0003045435,0.000545132,0.003287527,0.001227778],"domain_scores_gemma":[0.9863856,0.001951873,0.0006869938,0.001296094,0.004948148,0.004731274],"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":[0.00001400384,0.00002106086,0.00002709147,0.00004320234,0.000002356046,0.00007264601,0.00003123263,0.00001746165,0.00006530691,0.009920977,0.981419,0.008365582],"study_design_scores_gemma":[0.000006794058,0.00001009501,0.00007415267,0.00006754968,0.000002458627,0.00007540766,0.00007486258,0.00001971889,0.00004310763,0.003711762,0.9959036,0.00001042975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003085308,0.01492466,0.0006494088,0.724027,0.1430569,0.0000741488,0.0004736157,0.00110381,0.1153818],"genre_scores_gemma":[0.005868815,0.01288559,0.001873528,0.5748468,0.04915237,0.0001172493,0.000423634,0.0005489386,0.3542832],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.15858,"threshold_uncertainty_score":0.530503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0641451679386877,"score_gpt":0.3305428019279759,"score_spread":0.2663976339892882,"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."}}