{"id":"W2762037352","doi":"10.1109/ihtc.2017.8058167","title":"A low-cost approach for wide-spread screening of periodic leg movements related to sleep disorders","year":2017,"lang":"en","type":"article","venue":"","topic":"Restless Legs Syndrome Research","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; Toronto Metropolitan University","funders":"","keywords":"Polysomnography; Sleep (system call); Physical medicine and rehabilitation; Computer science; Nocturnal; Artificial intelligence; Eye movement; Machine learning; Medicine; Speech recognition; Psychology; Neuroscience; Electroencephalography","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":[0.0009041008,0.0006228894,0.0009437055,0.002329296,0.00040953,0.0007681838,0.001110548,0.0009944026,0.008992106],"category_scores_gemma":[0.001823817,0.0002626762,0.0006808742,0.001158876,0.0001688111,0.0006273965,0.0009936076,0.0005364541,0.003439219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817095,"about_ca_system_score_gemma":0.000685397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00102287,"about_ca_topic_score_gemma":0.001845191,"domain_scores_codex":[0.9989638,0.000325574,0.00006000001,0.0001822562,0.0003943511,0.00007399141],"domain_scores_gemma":[0.9992084,0.0002306418,0.00006728433,0.0001156196,0.000294929,0.00008311383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008847824,0.000930176,0.01234258,0.0004376132,0.0001370859,0.0006221254,0.00007049214,0.001957642,0.09545356,0.002001255,0.006703178,0.8784595],"study_design_scores_gemma":[0.002255912,0.02274108,0.2482539,0.0009202588,0.003139524,0.02762093,0.001232397,0.2927577,0.2073666,0.02559661,0.1674381,0.0006771315],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1075634,0.006247716,0.8595033,0.002490844,0.0007692202,0.002852376,0.001681291,0.002748738,0.01614307],"genre_scores_gemma":[0.4090484,0.002384756,0.5749305,0.001071155,0.0005071546,0.001608668,0.001252007,0.0001188797,0.009078446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008992106,"threshold_uncertainty_score":0.03008157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04692132800944461,"score_gpt":0.3539388420605441,"score_spread":0.3070175140510995,"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."}}