{"id":"W1497849678","doi":"10.1503/cmaj.1150033","title":"Time to rethink EMRs","year":2015,"lang":"en","type":"letter","venue":"Canadian Medical Association Journal","topic":"Radiology practices and education","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Data science; Medical record; Medical practice; Medicine; Computer science; Family medicine; Surgery","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","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.003223294,0.0001953714,0.0004756791,0.00043118,0.0001800517,0.00009208256,0.0002500157,0.002785478,0.027137],"category_scores_gemma":[0.01322459,0.0001759746,0.0001419231,0.0002402417,0.00003829524,0.0001070405,0.00001279419,0.006950472,0.01183903],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004218595,"about_ca_system_score_gemma":0.01722559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298498,"about_ca_topic_score_gemma":0.001246429,"domain_scores_codex":[0.9962668,0.0003368774,0.0004976864,0.0002404038,0.00197255,0.0006856863],"domain_scores_gemma":[0.9948791,0.0003737923,0.0003925165,0.0002043437,0.0009957538,0.003154458],"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":[0.000007146289,0.000007266368,0.0004396447,0.00001018791,0.000177922,0.002292078,0.0003244889,4.875574e-7,5.139732e-7,8.098186e-7,0.9904931,0.006246318],"study_design_scores_gemma":[0.0003919383,0.0001255756,0.000792302,0.0001288201,0.0001449706,0.003428958,0.00008593635,0.00003076406,2.333867e-7,0.00004850307,0.9946534,0.0001685762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001878224,0.0001922513,0.000003482127,0.9716027,0.003217452,0.0001649487,0.0000257685,0.0000220596,0.02289308],"genre_scores_gemma":[0.0000543282,0.00005252412,0.0001730074,0.8905395,0.0415922,0.000007037295,0.0002191877,0.00003838569,0.06732381],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08106322,"threshold_uncertainty_score":0.999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01864394243516986,"score_gpt":0.2874381570741914,"score_spread":0.2687942146390215,"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."}}