{"id":"W4377230041","doi":"10.18280/ts.400208","title":"Premature Ventricular Contraction Detection Based on Chebyshev Polynomials and K Nearest Neighbours Classifier","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chebyshev polynomials; Chebyshev filter; Contraction (grammar); Classifier (UML); Mathematics; Artificial intelligence; Pattern recognition (psychology); Computer science; Internal medicine; Cardiology; Medicine; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000855112,0.0004905688,0.0009069143,0.001714698,0.0004425854,0.0007642913,0.0006984926,0.001136589,0.0009945992],"category_scores_gemma":[0.003233583,0.0002021221,0.0006879144,0.001088893,0.0003163292,0.0008227936,0.0003766377,0.0006466607,0.0007770956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004116636,"about_ca_system_score_gemma":0.0005866502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004060155,"about_ca_topic_score_gemma":0.004059602,"domain_scores_codex":[0.9988379,0.000224383,0.00008692464,0.0002296103,0.0004960496,0.0001252161],"domain_scores_gemma":[0.9986116,0.0005699086,0.0001095431,0.00009061833,0.0005594476,0.0000588751],"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":[0.001127777,0.0004357238,0.01893184,0.0003770482,0.0002101514,0.0007853601,0.0001938213,0.07204642,0.07198871,0.002749244,0.004186802,0.8269671],"study_design_scores_gemma":[0.00002716552,0.0002188357,0.01067447,0.00002479966,0.00004798612,0.0007461517,0.00006304601,0.9717576,0.01422862,0.00102225,0.001134902,0.00005410254],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2519134,0.002093281,0.7387927,0.0003090654,0.0004357517,0.0001895615,0.0003491508,0.001258197,0.00465888],"genre_scores_gemma":[0.8631121,0.0006527185,0.1332525,0.00006910791,0.0001198202,0.0000623153,0.0003107449,0.00003706234,0.002383632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004060155,"threshold_uncertainty_score":0.008073032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01654442543743077,"score_gpt":0.2572584165913794,"score_spread":0.2407139911539487,"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."}}