{"id":"W2924046673","doi":"10.1016/s2215-0366(19)30041-0","title":"Automation to optimise physician treatment of individual patients: examples in psychiatry","year":2019,"lang":"en","type":"review","venue":"The Lancet Psychiatry","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Movement Disorders; University of Toronto","funders":"Deutsche Forschungsgemeinschaft; Medical Research Council; Bundesministerium für Bildung und Forschung; National Institute for Health and Care Research; Wellcome Trust","keywords":"Automation; Software deployment; Identification (biology); Health technology; Digital health; Medicine; Health care; Quality (philosophy); Medical record; Health care delivery; Computer science; Engineering","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":[0.008300955,0.0008322472,0.001685875,0.002985012,0.0003519711,0.001795854,0.001408094,0.001798949,0.00568584],"category_scores_gemma":[0.03184543,0.0003258394,0.002159854,0.003666691,0.0006976255,0.001560733,0.0008514289,0.002435772,0.001082854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002149492,"about_ca_system_score_gemma":0.005243301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008633561,"about_ca_topic_score_gemma":0.01903703,"domain_scores_codex":[0.9964601,0.001830397,0.000503731,0.000224629,0.0008551267,0.0001258834],"domain_scores_gemma":[0.9687592,0.02534804,0.001824481,0.0005258406,0.003232141,0.0003102862],"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":[0.0001616144,0.00006422237,0.0004185612,0.05017275,0.0006413252,0.00007712845,0.0001477938,0.0007100218,0.000163625,0.004729521,0.02396096,0.9187525],"study_design_scores_gemma":[0.0004039672,0.000588232,0.0089717,0.1900301,0.004301731,0.0007766436,0.0005033728,0.0008392367,0.000669463,0.006551581,0.7862326,0.0001313581],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002708572,0.9956712,0.0004105758,0.001972508,0.000299385,0.00002504266,0.00007489002,0.00001257093,0.001263052],"genre_scores_gemma":[0.005846683,0.9896757,0.002171583,0.001547548,0.0003076455,0.00003088645,0.00008025268,0.000008007413,0.0003317055],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008633561,"threshold_uncertainty_score":0.04390019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1814438711320477,"score_gpt":0.4810510018292301,"score_spread":0.2996071306971825,"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."}}