{"id":"W4393514602","doi":"10.5281/zenodo.4382471","title":"Long QT syndrome ECG analysis","year":2019,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Long QT syndrome; Internal medicine; Cardiology; QT interval; Computer science; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0007140553,0.002065183,0.001213475,0.00191911,0.0004314252,0.000813071,0.001888107,0.001530263,0.008440469],"category_scores_gemma":[0.002355631,0.0003319929,0.001324738,0.001683321,0.0002640673,0.0003586347,0.001014599,0.0009137992,0.01064879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005579466,"about_ca_system_score_gemma":0.001155608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007788989,"about_ca_topic_score_gemma":0.01494009,"domain_scores_codex":[0.9992718,0.00011253,0.0001284569,0.0002443288,0.0001625919,0.00008026739],"domain_scores_gemma":[0.999118,0.0001906498,0.0001036509,0.0002599509,0.0002452055,0.00008251708],"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":[0.001800011,0.0005426445,0.01476503,0.003146055,0.0006150903,0.0007745881,0.00008044988,0.004152298,0.005909047,0.0006135565,0.8970692,0.07053206],"study_design_scores_gemma":[0.002869101,0.0007066875,0.147613,0.001012081,0.0008826731,0.003793724,0.0001805978,0.02145268,0.01100619,0.0028124,0.8073979,0.00027298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01136971,0.0006643428,0.001675564,0.0001429247,0.000107554,0.0002241105,0.9823138,0.002091035,0.001411002],"genre_scores_gemma":[0.006272478,0.0001656685,0.001799919,0.00007057409,0.0000185878,0.0002422158,0.990692,0.00005496898,0.0006835157],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008440469,"threshold_uncertainty_score":0.02823615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03899378856925879,"score_gpt":0.2851171839369428,"score_spread":0.246123395367684,"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."}}