{"id":"W4244095944","doi":"10.32920/ryerson.14648952","title":"Automatic Detection of Periodic Limb Movements in Sleep (PLMS), And Analysis of Their Relationship to Heart Rate Signals","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Restless Legs Syndrome Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Polysomnography; Computer science; Physical medicine and rehabilitation; Artificial intelligence; Medicine; Psychology; Electroencephalography; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.001265016,0.0001999979,0.001161482,0.002170673,0.00002886066,0.00003637057,0.0001131141,0.0002399291,0.0005534316],"category_scores_gemma":[0.0006994515,0.0001714636,0.0002534477,0.001765593,0.00007149706,0.00005063069,0.000368978,0.0004809059,0.000004700796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001570761,"about_ca_system_score_gemma":0.0002165329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001037212,"about_ca_topic_score_gemma":0.000428825,"domain_scores_codex":[0.9975855,0.0004050555,0.0008222766,0.0004555352,0.0005098693,0.0002217368],"domain_scores_gemma":[0.9982578,0.0004357008,0.0001973669,0.0006684572,0.0002855203,0.0001551532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001486189,0.0004459093,0.7448313,0.003095404,0.002693092,0.00003128712,0.002878754,0.008798731,0.2319647,0.00001050413,0.000009063135,0.005092604],"study_design_scores_gemma":[0.0003775579,0.0002062289,0.8963963,0.0005704619,0.0003230954,0.000004584542,0.0007104268,0.07756408,0.02367546,0.0000571513,0.000003613992,0.0001109897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963859,0.0004679016,0.001509357,0.0003419515,0.00003471663,0.0009029359,0.000017726,0.00002291975,0.0003166118],"genre_scores_gemma":[0.9984145,0.00007962829,0.0009233476,0.0000466837,0.000008718625,0.00009637009,0.00006936666,0.00002086774,0.0003405817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2082893,"threshold_uncertainty_score":0.6992084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05588603936677837,"score_gpt":0.3472413759152838,"score_spread":0.2913553365485054,"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."}}