{"id":"W6963929443","doi":"10.25545/mmnbnm/knhx0a","title":"080101-ecg.csv","year":2025,"lang":"ca","type":"dataset","venue":"UNB Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001099094,0.004116531,0.002359837,0.004342664,0.001318761,0.003236629,0.004369964,0.004005114,0.145615],"category_scores_gemma":[0.007146164,0.0009062199,0.001843085,0.006132474,0.0008244134,0.00164548,0.002393016,0.002020202,0.2128959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001863349,"about_ca_system_score_gemma":0.003057886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03711681,"about_ca_topic_score_gemma":0.05665435,"domain_scores_codex":[0.9986979,0.0002029224,0.0001459931,0.0004169437,0.000279594,0.0002567583],"domain_scores_gemma":[0.9972046,0.0007355516,0.0001787121,0.0008374498,0.0006769075,0.0003667634],"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":[0.00008425557,0.0000178712,0.0001426619,0.0003387121,0.00001595172,0.0000114153,0.000006452927,0.0001207803,0.0000864563,0.0001454636,0.9973778,0.001652225],"study_design_scores_gemma":[0.0008437748,0.00006769277,0.00244908,0.0002920193,0.00006322423,0.000111016,0.00006314216,0.001145206,0.0007799512,0.00144711,0.9926831,0.00005463061],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001749456,0.0001260666,0.00008119284,0.00014909,0.00007914766,0.00002351501,0.9969687,0.001219316,0.001177979],"genre_scores_gemma":[0.0004037775,0.00006874342,0.0002354493,0.00007449876,0.00002503412,0.00006510142,0.9978721,0.0001493498,0.001106008],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.854385,"threshold_uncertainty_score":0.4871307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01144281181431316,"score_gpt":0.2776551645767532,"score_spread":0.26621235276244,"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."}}