{"id":"W1998313070","doi":"10.4067/s0718-33052010000200004","title":"MEJORAMIENTO DE ALGORITMO CLÁSICO DE DETECCIÓN DE COMPLEJOS QRS EN SEÑAL ELECTROCARDIOGRÁFICA","year":2010,"lang":"es","type":"article","venue":"Ingeniare. Revista chilena de ingeniería","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Physics; Humanities; Philosophy","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":[0.0014176,0.0006256448,0.0005958877,0.001074471,0.0003051601,0.00166501,0.0006746115,0.0008565309,0.004257062],"category_scores_gemma":[0.002343942,0.0003472081,0.000520613,0.00064373,0.0005366901,0.00123871,0.0006085087,0.000619976,0.001574853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005610112,"about_ca_system_score_gemma":0.0007981585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001685619,"about_ca_topic_score_gemma":0.002103835,"domain_scores_codex":[0.9991942,0.000183735,0.00005784524,0.0002250686,0.0002868756,0.00005230988],"domain_scores_gemma":[0.998742,0.000463002,0.0001476709,0.0002114841,0.0003757146,0.00006015282],"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":[0.0006873845,0.00006120704,0.009304087,0.001258531,0.0001210266,0.0005542896,0.0009420798,0.004955701,0.310319,0.004091025,0.003163435,0.6645421],"study_design_scores_gemma":[0.0001741177,0.002643264,0.06690527,0.001025576,0.0006975788,0.009566916,0.00153857,0.1056307,0.5489977,0.00554844,0.256976,0.0002959838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1731642,0.02046339,0.7875758,0.00089913,0.0005569424,0.0002783512,0.0004080575,0.002307219,0.01434701],"genre_scores_gemma":[0.5080087,0.01610487,0.4441798,0.0005384291,0.0006653406,0.0002262315,0.0005769019,0.0004915514,0.02920816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004257062,"threshold_uncertainty_score":0.01424128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005363697430880806,"score_gpt":0.275393939841643,"score_spread":0.2700302424107622,"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."}}