{"id":"W2054335355","doi":"10.12927/hcpap..16866","title":"Improving Patient Safety through Computerized Drug Management: The Devil Is in the Details","year":2004,"lang":"en","type":"letter","venue":"A Nudge Too Far? A Nudge at All? On Paying People to Be Healthy","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Public health; Health care; Equity (law); Population health; Epidemiology; Health policy; Medicine; Library science; Political science; Nursing; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01597526,0.0008740091,0.000951793,0.003182382,0.003712305,0.01283552,0.002409269,0.007454551,0.03263021],"category_scores_gemma":[0.06920652,0.0006672032,0.001046579,0.003678427,0.004419393,0.02285432,0.006792393,0.009686871,0.01547535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003120256,"about_ca_system_score_gemma":0.01026573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003781308,"about_ca_topic_score_gemma":0.004565511,"domain_scores_codex":[0.9827085,0.006759049,0.001513127,0.001164015,0.007169552,0.0006858052],"domain_scores_gemma":[0.939521,0.02824174,0.005320573,0.008084254,0.01207994,0.006752484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001027624,0.000224117,0.004734644,0.0005915248,0.00004642016,0.0002679273,0.0009509882,0.0003591635,0.0006218912,0.03130354,0.4003843,0.5604128],"study_design_scores_gemma":[0.00006513295,0.0002143129,0.003072298,0.001714043,0.00006099163,0.0006046786,0.0009190142,0.0005766248,0.0006363862,0.03506644,0.9569945,0.00007555079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.004044026,0.01894535,0.02626054,0.8478223,0.01316745,0.000245231,0.0003732585,0.002289183,0.08685276],"genre_scores_gemma":[0.140949,0.07404838,0.1315148,0.4903717,0.03749393,0.0007043541,0.001667542,0.001139306,0.1221109],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.03263021,"threshold_uncertainty_score":0.1091589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06127804687960868,"score_gpt":0.3673542056924505,"score_spread":0.3060761588128418,"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."}}