{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003827088,0.001263348,0.001952128,0.0007819313,0.0009836736,0.0009692033,0.001400844,0.001253693,0.0003133194],"category_scores_gemma":[0.00191445,0.001345118,0.00143355,0.001318493,0.0004347117,0.0002411645,0.0003818305,0.003858562,0.0002915407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00185232,"about_ca_system_score_gemma":0.001801156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009728684,"about_ca_topic_score_gemma":0.00008813404,"domain_scores_codex":[0.9913707,0.001067177,0.001503241,0.001510516,0.00111718,0.003431138],"domain_scores_gemma":[0.9943371,0.0007351216,0.0006542454,0.001965763,0.0004477607,0.001859983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00035465,0.0006361444,0.4662446,0.001324469,0.00298878,0.001030063,0.005588684,0.0001135972,0.4365318,0.0007767868,0.002809442,0.08160099],"study_design_scores_gemma":[0.006363675,0.001725647,0.1955098,0.004080514,0.01244999,0.004114415,0.001665386,0.04141097,0.1518902,0.0009944829,0.5747002,0.005094739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720419,0.009408847,0.01331474,0.001413291,0.0008124822,0.0007997563,0.0001595315,0.0006294975,0.001419977],"genre_scores_gemma":[0.9583047,0.002922503,0.02744984,0.0008724419,0.00914974,0.0001609728,0.0001145145,0.0003645206,0.0006607705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5718908,"threshold_uncertainty_score":0.9988998,"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."}}