{"id":"W3162994045","doi":"10.1109/icassp39728.2021.9414709","title":"ECG Heart-Beat Classification Using Multimodal Image Fusion","year":2021,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Artificial intelligence; Computer science; Feature extraction; Pattern recognition (psychology); Fuse (electrical); Computer vision; Engineering","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":[0.0005733818,0.0007854758,0.0007758548,0.001197962,0.0001572336,0.0006255059,0.0006049985,0.000853889,0.001339434],"category_scores_gemma":[0.001162232,0.0001477122,0.0006689637,0.0006278687,0.0002190718,0.0007260107,0.0007787533,0.0006344041,0.0008798917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002574221,"about_ca_system_score_gemma":0.0002857118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001150013,"about_ca_topic_score_gemma":0.001304051,"domain_scores_codex":[0.999681,0.00003509688,0.00001575156,0.0001089227,0.0001043358,0.00005487764],"domain_scores_gemma":[0.9997963,0.00004385943,0.00003304653,0.00003724553,0.0000679942,0.00002161114],"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":[0.0006102558,0.0003653096,0.007914898,0.0001574134,0.0001944121,0.0002422492,0.00006320431,0.03836425,0.07384574,0.001342968,0.005032268,0.871867],"study_design_scores_gemma":[0.00002442368,0.0003414244,0.01013216,0.0000453322,0.0001289463,0.0005234226,0.00003264325,0.9440721,0.0391882,0.002606999,0.002865858,0.00003857695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1450844,0.003490307,0.8396296,0.0005736143,0.0003064743,0.0001706234,0.001072442,0.00508608,0.004586407],"genre_scores_gemma":[0.8611652,0.001134926,0.1323341,0.0003766824,0.0002454017,0.00009217812,0.001600351,0.0001034725,0.002947708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001339434,"threshold_uncertainty_score":0.004480839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05167551855245286,"score_gpt":0.3488993536340335,"score_spread":0.2972238350815806,"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."}}