{"id":"W4393766773","doi":"10.5281/zenodo.4382480","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; Medicine; QT interval","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":[0.0009644341,0.001255804,0.00115992,0.002086717,0.0004149612,0.001260312,0.001749387,0.001305497,0.02021783],"category_scores_gemma":[0.00622169,0.0002956012,0.00104654,0.00193823,0.0002669689,0.0004911855,0.001440107,0.0009390228,0.02375124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006820337,"about_ca_system_score_gemma":0.0012451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004512992,"about_ca_topic_score_gemma":0.008481413,"domain_scores_codex":[0.998948,0.0001653985,0.000224825,0.000368416,0.0001965109,0.00009682116],"domain_scores_gemma":[0.9980246,0.0003629991,0.0002568215,0.0007136025,0.0005043771,0.0001375932],"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":[0.001157645,0.0001326003,0.01430905,0.002183475,0.000327484,0.0003644569,0.00008721233,0.001053874,0.001544658,0.0009198706,0.9422504,0.03566924],"study_design_scores_gemma":[0.001078696,0.0002257211,0.09793507,0.001168019,0.0003464532,0.00211497,0.0001795246,0.004320103,0.003515994,0.004093505,0.8848754,0.0001465503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003853896,0.0003346832,0.001118083,0.0001426526,0.00007424715,0.000186265,0.9912711,0.001124535,0.001894521],"genre_scores_gemma":[0.005602106,0.0001502137,0.001505538,0.00007308758,0.00002774967,0.000337301,0.9912478,0.0000896295,0.0009664905],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02021783,"threshold_uncertainty_score":0.06763542,"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."}}