{"id":"W4234600429","doi":"10.32920/ryerson.14647479","title":"Analysis Of Electrocardiograms During Human Ventricular Arrhythmias For Optimizing Treatment Options","year":2021,"lang":"en","type":"preprint","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Ventricular fibrillation; Medicine; Ventricular tachycardia; Cardiology; Internal medicine; Cardiac arrhythmia; Population; Sudden cardiac death; Atrial fibrillation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004173226,0.0004519633,0.000340192,0.0009600712,0.0001410074,0.0007538256,0.0001783029,0.0003987774,0.00136345],"category_scores_gemma":[0.001520364,0.00008372735,0.0002253431,0.0008506479,0.000133866,0.0003308683,0.0001363864,0.0002932668,0.0008831359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008715723,"about_ca_system_score_gemma":0.000138581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000565492,"about_ca_topic_score_gemma":0.001225581,"domain_scores_codex":[0.9997889,0.00004917743,0.00001958008,0.00005373172,0.00007082062,0.00001784986],"domain_scores_gemma":[0.9996194,0.0001296315,0.00005563464,0.00003717783,0.0001393912,0.00001871026],"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":[0.0007291577,0.0001654273,0.06636486,0.001030859,0.000147472,0.001629572,0.0008418051,0.009097966,0.2458879,0.002064627,0.007694088,0.6643462],"study_design_scores_gemma":[0.00009280099,0.001208242,0.6558806,0.0004850239,0.0004775654,0.009978656,0.002413236,0.1927149,0.09899843,0.005503885,0.03208461,0.0001621791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5187559,0.0054883,0.4551791,0.0006008523,0.0005331467,0.000420613,0.00319304,0.001609143,0.01421995],"genre_scores_gemma":[0.8790817,0.003962327,0.11187,0.0001399943,0.000267014,0.0001214604,0.001523396,0.000110995,0.002923147],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00136345,"threshold_uncertainty_score":0.004561186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873135701880741,"score_gpt":0.3192057579888524,"score_spread":0.290474400970045,"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."}}