{"id":"W6961116598","doi":"10.14288/1.0433687","title":"Drugs to avoid","year":2023,"lang":"en","type":"article","venue":"Open Collections","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical prescription; Drug; Essential drugs; Drug industry; Drug approval; Pharmaceutical industry","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":[0.001826719,0.0006388765,0.0006788339,0.0009874847,0.003082721,0.004008532,0.0006580847,0.008274281,0.07664432],"category_scores_gemma":[0.01073438,0.0003405516,0.001173593,0.0005220409,0.001854134,0.001754902,0.002001008,0.007326072,0.04630692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003464979,"about_ca_system_score_gemma":0.009560207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0121381,"about_ca_topic_score_gemma":0.05539142,"domain_scores_codex":[0.996169,0.0005266191,0.0003127524,0.000286605,0.002113488,0.0005915037],"domain_scores_gemma":[0.9941949,0.001734081,0.0004658371,0.0003250278,0.002246868,0.001033192],"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":[0.00003505787,0.00002841939,0.0002371776,0.0001123114,0.000003763279,0.0001815198,0.00005943055,0.00001348096,0.0001842159,0.006067604,0.9640867,0.02899027],"study_design_scores_gemma":[0.00001301666,0.00002909586,0.0004528205,0.0001384198,0.000004557483,0.0002867206,0.00004981826,0.00001132338,0.00009721995,0.0007434432,0.9981672,0.000006274289],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002270994,0.02351514,0.0008624569,0.4009287,0.04500405,0.000239746,0.001555885,0.0006111907,0.5250118],"genre_scores_gemma":[0.01205442,0.01308503,0.002270902,0.5363743,0.014922,0.0001351755,0.001253106,0.0002272834,0.4196777],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07664432,"threshold_uncertainty_score":0.2564008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5462853241063641,"score_gpt":0.6020159446956019,"score_spread":0.05573062058923783,"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."}}