{"id":"W2525973099","doi":"10.1016/j.cjca.2016.07.203","title":"ECG COMPUTER INTERPRETATION AND CARDIOLOGY TRAINEES: HELP OR HINDERANCE?","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Medicine; Cardiology; Interpretation (philosophy); Internal medicine; Clinical Practice; Electrocardiography; Physical therapy","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":[0.04028742,0.0006126805,0.001137902,0.002367452,0.008101609,0.006486683,0.003770024,0.009765539,0.01459712],"category_scores_gemma":[0.2397321,0.001365112,0.0009111506,0.001970231,0.00593896,0.009291652,0.008010474,0.01239764,0.003311845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002801621,"about_ca_system_score_gemma":0.02310506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02549759,"about_ca_topic_score_gemma":0.06121736,"domain_scores_codex":[0.9568363,0.02336872,0.003545071,0.002239583,0.008057065,0.005953234],"domain_scores_gemma":[0.7255588,0.1136525,0.03088118,0.007208869,0.04149361,0.081205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002832866,0.002355998,0.2825554,0.001703265,0.0002553964,0.006509431,0.04353004,0.0003832413,0.0004814224,0.005031411,0.2877412,0.3691699],"study_design_scores_gemma":[0.0004963898,0.001586509,0.3236199,0.02172004,0.0004251616,0.0187379,0.2898298,0.001966745,0.0006281883,0.02609227,0.3141176,0.0007794817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04465664,0.01073288,0.001255383,0.9200303,0.004631063,0.00008882253,0.00009642678,0.000186148,0.01832234],"genre_scores_gemma":[0.723435,0.02711741,0.00869836,0.2163556,0.0176964,0.0002966583,0.0002353116,0.0002683519,0.005896884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04028742,"threshold_uncertainty_score":0.2130628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0156961972863658,"score_gpt":0.250324570331323,"score_spread":0.2346283730449572,"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."}}