{"id":"W2595056566","doi":"10.1007/s40264-017-0521-6","title":"Medicines Save, Medicines Kill","year":2017,"lang":"en","type":"letter","venue":"Drug Safety","topic":"Pharmaceutical industry and healthcare","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Traditional medicine; Pharmacology","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":[0.004653884,0.001159163,0.001418216,0.0009847522,0.01067993,0.01099428,0.00244321,0.10696,0.02230794],"category_scores_gemma":[0.02838132,0.001149358,0.001738442,0.0007582707,0.008229401,0.009081874,0.005470958,0.09449802,0.01510776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007672225,"about_ca_system_score_gemma":0.01409146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033552,"about_ca_topic_score_gemma":0.04772691,"domain_scores_codex":[0.993821,0.001176385,0.0005305539,0.0008950339,0.00234526,0.001231825],"domain_scores_gemma":[0.9901553,0.003774602,0.0007603493,0.0003790957,0.001601501,0.003329105],"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":[0.00002508113,0.00004305881,0.0003817214,0.00003024589,0.000012361,0.0005195885,0.0001734971,0.00003896384,0.0001238968,0.008814787,0.9835314,0.006305366],"study_design_scores_gemma":[0.00005456431,0.00004656112,0.0005397403,0.0001989003,0.00001599835,0.0004721022,0.0005890749,0.0001829366,0.0001079393,0.01380162,0.9839391,0.00005141617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001728199,0.0009164479,0.00007157547,0.9828987,0.008450857,0.00000894757,0.00002188283,0.00002645844,0.007432282],"genre_scores_gemma":[0.0008349936,0.0003105364,0.00006660515,0.9814031,0.007626635,0.00001116033,0.000008093555,0.00001192939,0.009726913],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.10696,"threshold_uncertainty_score":0.07462746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3536071547703868,"score_gpt":0.5458071683789217,"score_spread":0.1922000136085349,"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."}}