{"id":"W2807552425","doi":"10.1016/j.hjdsi.2018.05.003","title":"Saving without compromising: Teaching trainees to safely provide high value care","year":2018,"lang":"en","type":"article","venue":"Healthcare","topic":"Healthcare cost, quality, practices","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto; Mount Sinai Hospital","funders":"","keywords":"Value (mathematics); Patient care; Computer science; Medical emergency; Medicine; Medical education; Nursing; Machine learning","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":[0.007312608,0.0004499773,0.0002197492,0.0004772941,0.005106006,0.004433915,0.001605221,0.003615373,0.02238231],"category_scores_gemma":[0.03980237,0.0003899267,0.0005912965,0.000403154,0.003099164,0.005037526,0.005691442,0.00721891,0.005564919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003087551,"about_ca_system_score_gemma":0.03046001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004213305,"about_ca_topic_score_gemma":0.01441089,"domain_scores_codex":[0.9919665,0.003191506,0.0002175221,0.0003288052,0.002149058,0.002146639],"domain_scores_gemma":[0.957036,0.005671645,0.004910052,0.002205051,0.005999885,0.02417739],"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":[0.0002532479,0.004174705,0.03197524,0.0004114157,0.0001022072,0.0008575211,0.01008971,0.001357275,0.002088929,0.01405161,0.4636306,0.4710075],"study_design_scores_gemma":[0.0007728701,0.004854276,0.1373447,0.005272658,0.0003918276,0.01204988,0.09929962,0.007052256,0.005618092,0.1956007,0.5311158,0.0006273091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.2302279,0.001925156,0.01867863,0.6205427,0.007654488,0.0003079619,0.0001307375,0.0008364799,0.119696],"genre_scores_gemma":[0.8005447,0.003334952,0.03645563,0.1146866,0.004935974,0.0002696913,0.0001468181,0.0003382874,0.03928744],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02238231,"threshold_uncertainty_score":0.07487631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5135722074145752,"score_gpt":0.561633849878095,"score_spread":0.04806164246351974,"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."}}