{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006111447,0.0002247795,0.0003524926,0.0004144098,0.000126846,0.0003229754,0.0003370128,0.0003953765,0.001473934],"category_scores_gemma":[0.0000783073,0.0002701964,0.0002330601,0.0003060832,0.0001022209,0.000312328,0.00007551023,0.0007148534,0.003800993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002045476,"about_ca_system_score_gemma":0.00009169981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005907053,"about_ca_topic_score_gemma":0.000004582046,"domain_scores_codex":[0.9981666,0.000009387849,0.000581993,0.0005600635,0.00003149949,0.0006504494],"domain_scores_gemma":[0.9990718,0.0001740506,0.00009058564,0.0002433667,0.00001428161,0.0004058988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004596712,0.0001310771,0.005015767,0.0005102059,0.0003348776,0.00007985188,0.006439944,0.00001879865,0.00007173469,0.8487202,0.07505581,0.06357577],"study_design_scores_gemma":[0.0005144709,0.00003255369,0.0003054485,0.00003489066,0.00001083569,0.00001805011,0.00008847555,0.002447567,0.0009686662,0.06664924,0.9285629,0.0003669278],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8409994,0.005938091,0.0003680185,0.03306327,0.003827337,0.0009664985,0.00276703,0.0003672413,0.1117031],"genre_scores_gemma":[0.9897532,0.000189675,0.0002287448,0.006176106,0.001083166,0.0001015817,0.00003897364,0.0000707381,0.002357841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.853507,"threshold_uncertainty_score":0.999975,"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."}}