{"id":"W3112500355","doi":"10.1109/smc42975.2020.9282912","title":"Impact of Physiological Sensor Variance on Machine Learning Algorithms","year":2020,"lang":"en","type":"article","venue":"","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Support vector machine; Artificial intelligence; Machine learning; Computer science; Test data; Test set; Algorithm; Data set","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001212258,0.00009765564,0.0003339886,0.0000164138,0.00002522513,0.000004174351,0.00003694928,0.0000613202,0.001627567],"category_scores_gemma":[0.0003614922,0.00006088546,0.0001589742,0.00009748725,0.00003442526,0.00002152321,0.00001971744,0.0002642479,0.0001218623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002987003,"about_ca_system_score_gemma":0.00007576311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009716173,"about_ca_topic_score_gemma":2.501521e-7,"domain_scores_codex":[0.9993092,0.00006578791,0.0001927658,0.0002024259,0.00008318745,0.000146576],"domain_scores_gemma":[0.9995431,0.0001181342,0.00003914561,0.0001165338,0.0000343796,0.0001486781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005259069,0.0005064419,0.01332092,0.0000681101,0.0002202656,0.00003884889,0.000385045,0.003397765,0.9521679,0.0005733281,0.0003950147,0.02840043],"study_design_scores_gemma":[0.003937851,0.007987055,0.3915635,0.00004544358,0.00006578048,0.00001487804,0.00005487478,0.5771145,0.009270724,0.0000649309,0.00964193,0.0002386111],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882057,0.00002419109,0.00249731,0.005606952,0.00002732369,0.0002505908,0.00001451014,0.0001073797,0.003266024],"genre_scores_gemma":[0.9969813,0.000007861099,0.001347416,0.001007034,0.0001466217,0.000002350221,0.00001023316,0.00000711452,0.0004900697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9428972,"threshold_uncertainty_score":0.9992851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367611660185365,"score_gpt":0.3063545769070412,"score_spread":0.2626784603051875,"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."}}