{"id":"W2759217727","doi":"10.1016/j.cjca.2017.07.220","title":"CAN AMBULATORY ELECTROCARDIOGRAPHIC (HOLTER) TESTING ACCURATELY DIFFERENTIATE PATIENTS AT HIGHER VERSUS LOWER RISK OF DEATH AFTER MYOCARDIAL INFRACTION?","year":2017,"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":"Calgary Laboratory Services","funders":"","keywords":"Medicine; Ambulatory; Cardiology; Internal medicine; Ambulatory ECG; Electrocardiography; Emergency medicine","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":[0.001071791,0.0004728278,0.001035843,0.0009737868,0.0002887476,0.001493046,0.0005778973,0.00200123,0.001473699],"category_scores_gemma":[0.008282271,0.0001822967,0.0005490195,0.0008453304,0.0003912311,0.001149697,0.0002352065,0.001153711,0.0006617605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002279674,"about_ca_system_score_gemma":0.0003586961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003014803,"about_ca_topic_score_gemma":0.007171262,"domain_scores_codex":[0.9994642,0.0001492281,0.00009293543,0.00006638705,0.0001115359,0.0001157408],"domain_scores_gemma":[0.9969708,0.00137861,0.0006402577,0.0001722305,0.0005200559,0.0003181006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000478241,0.000140427,0.9773663,0.00003873124,0.00009281843,0.0002911591,0.00005466885,0.00009698582,0.0005110602,0.0001388529,0.001232142,0.01955859],"study_design_scores_gemma":[0.00006314833,0.0003024781,0.9930878,0.00009184637,0.0001764006,0.001201296,0.0003364057,0.002071012,0.0004310377,0.0008072224,0.001413314,0.00001798204],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767864,0.006254911,0.001465376,0.006411044,0.0006024791,0.00003036868,0.000589334,0.00004184882,0.007818244],"genre_scores_gemma":[0.9945813,0.001556315,0.001122155,0.001105258,0.0007721536,0.00001062138,0.0003864579,0.000008510133,0.0004571416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003014803,"threshold_uncertainty_score":0.005994499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287773394789369,"score_gpt":0.2727456878663678,"score_spread":0.2398679539184741,"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."}}