{"id":"W4286484103","doi":"10.1016/j.sleep.2022.05.290","title":"Sleep architecture in idiopathic hypersomnia","year":2022,"lang":"en","type":"article","venue":"Sleep Medicine","topic":"Sleep and Wakefulness Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Sleep & Circadian Network; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"","keywords":"Sleep architecture; Sleep (system call); Medicine; Psychology; Neuroscience; Polysomnography; Psychiatry; Computer science; Electroencephalography; Programming language","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":[0.0002132297,0.0002270555,0.0002162966,0.001333351,0.0003367547,0.0003736209,0.0002627707,0.0002085607,0.001268102],"category_scores_gemma":[0.0006522397,0.0001364635,0.0001378547,0.0006905652,0.0003870034,0.0003853617,0.0003698624,0.0002520555,0.0001047296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005218814,"about_ca_system_score_gemma":0.0001958311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005043507,"about_ca_topic_score_gemma":0.007912025,"domain_scores_codex":[0.9999318,0.00001884623,0.000009893386,0.00001040111,0.0000143403,0.00001471885],"domain_scores_gemma":[0.9998146,0.0000405541,0.00005530695,0.00001401018,0.00003967509,0.00003587115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003895727,0.0001486853,0.9035833,0.0001468124,0.0001905949,0.003405607,0.0008660044,0.001083441,0.03556354,0.001189394,0.0005018992,0.04942502],"study_design_scores_gemma":[0.00001188217,0.0001980503,0.9963481,0.00001020871,0.00002215541,0.001267148,0.0002439553,0.0006687419,0.0004012189,0.0004896388,0.0003350553,0.000003825016],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950237,0.002483914,0.0002794895,0.0000822575,0.00001338133,0.00001162442,0.000111596,0.000008173549,0.001985841],"genre_scores_gemma":[0.998861,0.0004642054,0.0001647168,0.00001554989,0.00001905979,0.000005208188,0.0001138033,0.000005136193,0.0003514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005043507,"threshold_uncertainty_score":0.0100283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576899248752675,"score_gpt":0.290139907575538,"score_spread":0.2543709150880112,"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."}}