{"id":"W2966161936","doi":"10.1503/cmaj.72273","title":"One EHR should not rule them all","year":2019,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"West Park Healthcare Centre; McMaster University; Hamilton General Hospital","funders":"","keywords":"Leverage (statistics); Computer science; Sight; Frustration; Data science; Psychology; Artificial intelligence; Social psychology","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":[0.00637005,0.0006011457,0.0005474766,0.0005842856,0.007081587,0.004480553,0.001411097,0.03007555,0.01844152],"category_scores_gemma":[0.04180277,0.0004391971,0.0008700569,0.0006046241,0.004882071,0.01038415,0.003585936,0.0342337,0.01106255],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004049135,"about_ca_system_score_gemma":0.008374983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01353201,"about_ca_topic_score_gemma":0.02723905,"domain_scores_codex":[0.990971,0.002175102,0.0008535776,0.0008962978,0.003995088,0.001108833],"domain_scores_gemma":[0.9808291,0.006365407,0.001119443,0.001256098,0.006287232,0.00414275],"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":[0.00001509948,0.00002510617,0.0007892714,0.00003055119,0.000005579599,0.0005978317,0.0002976759,0.00002355903,0.000105746,0.009734126,0.9732039,0.01517154],"study_design_scores_gemma":[0.00001534177,0.00002767416,0.0006739851,0.0002751798,0.000006742217,0.001219957,0.001332335,0.0001828767,0.0001249223,0.01170001,0.9844034,0.00003762048],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003494002,0.0003268952,0.0003411444,0.9855,0.005998345,0.000008045675,0.00002337767,0.00004232947,0.007410429],"genre_scores_gemma":[0.005753102,0.0006072992,0.0008393191,0.9693364,0.004282814,0.00001704353,0.0000385411,0.00004807054,0.01907738],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9959509,"threshold_uncertainty_score":0.06169307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2652951327674145,"score_gpt":0.4123052140984997,"score_spread":0.1470100813310853,"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."}}