{"id":"W2946567818","doi":"10.1503/cmaj.71810","title":"Single electronic medical record for Canada: a second opinion","year":2019,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Office of the Chief Medical Examiner","funders":"","keywords":"Primary care; Electronic medical record; Medical record; Computer science; Second opinion; Data science; World Wide Web; Operations research; Medicine; Information retrieval; Family medicine; Internet privacy; Pathology; Surgery; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.005335165,0.0003651836,0.0009135994,0.0003117612,0.0002336181,0.0001115167,0.0004454957,0.003068512,0.03314945],"category_scores_gemma":[0.04926249,0.0003546767,0.0003688142,0.0002371324,0.00003832508,0.0001542792,0.00003240974,0.009259189,0.000151607],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01429268,"about_ca_system_score_gemma":0.1378488,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3859487,"about_ca_topic_score_gemma":0.9792397,"domain_scores_codex":[0.9904631,0.0004190787,0.002152154,0.0004862681,0.004947104,0.00153228],"domain_scores_gemma":[0.9903079,0.00454328,0.001351965,0.0002956134,0.001476422,0.002024819],"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":[0.0000347717,0.00002320945,0.001532931,0.0001157216,0.0004038981,0.0007302071,0.00001364971,1.241786e-7,0.000001253339,0.00000923869,0.9648501,0.03228491],"study_design_scores_gemma":[0.003044256,0.0004235079,0.0004108989,0.0003437836,0.0001860746,0.001569481,0.00006981666,0.0002251908,0.000002328155,0.0001135354,0.9932802,0.0003309006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001053529,0.0002708788,0.0002416006,0.9877006,0.008240349,0.0007935647,0.0002920718,0.00002219335,0.001385253],"genre_scores_gemma":[0.0007905318,0.0002499296,0.0001831737,0.9467819,0.0435663,0.00003514803,0.001575052,0.0001011613,0.006716792],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.593291,"threshold_uncertainty_score":0.9998905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06596986362144723,"score_gpt":0.3731760306247878,"score_spread":0.3072061670033406,"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."}}