{"id":"W3087912192","doi":"10.1093/ofid/ofaa449","title":"Clinical Trials Increase Off-Study Drug Use: A Segmented Time-Series Analysis","year":2020,"lang":"en","type":"article","venue":"Open Forum Infectious Diseases","topic":"Antimicrobial Resistance in Staphylococcus","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University Health Centre","funders":"McGill University Health Centre; McGill University","keywords":"Medicine; Drug; Clinical trial; Series (stratigraphy); Interrupted Time Series Analysis; Pharmacology; Internal medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001354862,0.0003869904,0.0021472,0.0002048712,0.0003075325,0.0004644939,0.0003963851,0.000108559,0.001957155],"category_scores_gemma":[0.01030802,0.0003237004,0.001065647,0.00152221,0.0002118669,0.0006267212,0.0005975442,0.0003018923,0.0004330877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009998075,"about_ca_system_score_gemma":0.0004052788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008807025,"about_ca_topic_score_gemma":0.0005434438,"domain_scores_codex":[0.9953941,0.00141644,0.001459241,0.0008348234,0.0004292247,0.0004661663],"domain_scores_gemma":[0.9963334,0.001097086,0.000577772,0.000735919,0.0002786217,0.0009772201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004277004,0.002319415,0.9168952,0.00003479404,0.003965979,0.0002281408,0.000103773,0.00001949886,0.0002053538,0.00003499699,0.06974226,0.002173591],"study_design_scores_gemma":[0.01275982,0.002603141,0.9299102,0.0001272042,0.02079046,0.00001288131,0.001377187,0.0005091065,0.0001283322,0.00008184827,0.03088898,0.0008107889],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876018,0.0002730394,0.0001970723,0.002584424,0.0001427902,0.004178211,0.0006363613,0.0003339672,0.004052308],"genre_scores_gemma":[0.9919026,0.000121397,0.0001725407,0.004316377,0.0001964601,0.0001736832,0.0002965445,0.00006051524,0.002759898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03885328,"threshold_uncertainty_score":0.9999215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05254089928887185,"score_gpt":0.3878285038806767,"score_spread":0.3352876045918048,"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."}}