{"id":"W2604524376","doi":"10.2174/1874120701610010117","title":"Retraction Notice: Research on Algorithm of Extracting PPG Signal for Detecting Atrial Fibrillation based on Probability Density Function","year":2016,"lang":"en","type":"retraction","venue":"The Open Biomedical Engineering Journal","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Notice; Atrial fibrillation; Computer science; Algorithm; SIGNAL (programming language); Function (biology); Probability density function; Data mining; Pattern recognition (psychology); Artificial intelligence; Medicine; Cardiology; Statistics; 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":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004290355,0.001752977,0.001254393,0.002644832,0.001320261,0.002101679,0.002180151,0.004113688,0.03261719],"category_scores_gemma":[0.07024198,0.0004475345,0.001513119,0.001993349,0.001581284,0.002172591,0.001625443,0.005086785,0.03011412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650367,"about_ca_system_score_gemma":0.002784163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004170019,"about_ca_topic_score_gemma":0.003761486,"domain_scores_codex":[0.9959911,0.0006662759,0.0007683048,0.0004953656,0.001873795,0.0002051498],"domain_scores_gemma":[0.9720389,0.005695501,0.0008227684,0.001577499,0.01882567,0.001039743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005384784,0.000008559081,0.0001337074,0.00030262,0.0000155274,0.0003129142,0.00006191521,0.00007628203,0.0005347801,0.001502434,0.9671174,0.02988006],"study_design_scores_gemma":[0.00005755807,0.0000846504,0.001369872,0.0004354164,0.00006466061,0.001880094,0.0001149648,0.001281476,0.002210868,0.002103549,0.9903425,0.00005443749],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001071578,0.004714312,0.006334968,0.06149913,0.9186969,0.00007768703,0.001117765,0.0005202484,0.005967323],"genre_scores_gemma":[0.0306883,0.02831616,0.03005006,0.04520911,0.5066538,0.0004428286,0.009670452,0.003009049,0.3459602],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9958863,"threshold_uncertainty_score":0.1091154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09572717738865316,"score_gpt":0.3901536857330234,"score_spread":0.2944265083443702,"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."}}