{"id":"W4287511352","doi":"10.1016/j.ins.2022.07.074","title":"Class-specific weighted broad learning system for imbalanced heartbeat classification","year":2022,"lang":"en","type":"article","venue":"Information Sciences","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Heartbeat; Computer science; Generalization; Class (philosophy); Artificial intelligence; Machine learning; Term (time); Scale (ratio); Pattern recognition (psychology); 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":[],"consensus_categories":[],"category_scores_codex":[0.002725281,0.001221458,0.001370462,0.002204953,0.0007638223,0.001099003,0.00135921,0.001418856,0.002890801],"category_scores_gemma":[0.003130451,0.0002924805,0.0009464591,0.001659032,0.0003162994,0.001395041,0.00249565,0.001473838,0.002280513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004130144,"about_ca_system_score_gemma":0.0009517994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002593058,"about_ca_topic_score_gemma":0.004059357,"domain_scores_codex":[0.9987914,0.0002160508,0.0001122892,0.0003786882,0.000325493,0.0001760425],"domain_scores_gemma":[0.9988116,0.0002601643,0.00007638196,0.0001769533,0.0005736367,0.0001011518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006172803,0.000546146,0.00547234,0.00009912522,0.0001713068,0.00009631342,0.00006696078,0.01369472,0.01768807,0.0008434989,0.009071962,0.9516321],"study_design_scores_gemma":[0.00007025753,0.0004825436,0.01026035,0.00005024432,0.0002159017,0.0002343819,0.0001065098,0.9634238,0.01363568,0.00420832,0.007256542,0.00005537903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1235448,0.003611085,0.8588389,0.000631099,0.0004948539,0.0003838941,0.001727498,0.006732785,0.004035228],"genre_scores_gemma":[0.7162475,0.001146939,0.2636648,0.0007651657,0.0004076334,0.0004667783,0.005785686,0.0002628118,0.01125279],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002890801,"threshold_uncertainty_score":0.01441288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04245537499133904,"score_gpt":0.3052567760576003,"score_spread":0.2628014010662612,"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."}}