{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002797098,0.00009988036,0.0005953123,0.0002884488,0.00004792667,0.000009034788,0.00006857567,0.0001242387,0.00001640546],"category_scores_gemma":[0.0001798393,0.00005761987,0.0001755752,0.00007350095,0.0001677985,0.00005509445,0.000005806103,0.0001516054,0.000005431477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001073218,"about_ca_system_score_gemma":0.000460788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120391,"about_ca_topic_score_gemma":0.0002722822,"domain_scores_codex":[0.9991782,0.0001201303,0.0002788771,0.0001258912,0.00006126314,0.0002356314],"domain_scores_gemma":[0.9990192,0.0001422871,0.00009820377,0.0001171677,0.0001865606,0.0004365528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004001538,0.000001942871,0.4917223,0.00004636365,0.001632079,0.002412563,0.0006448192,0.00060904,0.001965001,0.00004485555,0.01782121,0.4826997],"study_design_scores_gemma":[0.009787764,0.005389477,0.5966781,0.001341128,0.001932162,0.04199351,0.001328768,0.001404059,0.0004781619,0.0009665448,0.3379392,0.000761126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.754878,0.001380758,0.2330034,0.007223418,0.001758453,0.00009756736,0.00001836903,0.00001225009,0.001627716],"genre_scores_gemma":[0.9955804,0.0001814741,0.000934585,0.0003049321,0.002717079,0.000001250033,0.000001391145,0.00001037268,0.0002685547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4819385,"threshold_uncertainty_score":0.234967,"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."}}