{"id":"W4286206402","doi":"10.1016/j.sleep.2022.05.503","title":"The interplay between sleep, cognition and copy number variations","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":"Université de Montréal; Montreal Neurological Institute and Hospital","funders":"","keywords":"Cognition; Sleep (system call); Psychology; Cognitive psychology; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009015211,0.0004274839,0.0004261924,0.001213098,0.0002560858,0.001319762,0.000552992,0.0006437344,0.003218416],"category_scores_gemma":[0.005734821,0.0001871677,0.000342049,0.001031702,0.0007992305,0.0009847333,0.0004573909,0.0005303985,0.0002254985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003057649,"about_ca_system_score_gemma":0.0003763319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002244613,"about_ca_topic_score_gemma":0.003043819,"domain_scores_codex":[0.999418,0.0001677756,0.00004913805,0.0001977955,0.0001232173,0.00004417617],"domain_scores_gemma":[0.9967775,0.001903887,0.0007024835,0.0003163456,0.0001815974,0.0001181973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002313446,0.0002322553,0.6684774,0.0005252879,0.00294176,0.001913739,0.001716126,0.004653116,0.08173014,0.02289771,0.003036028,0.209563],"study_design_scores_gemma":[0.00004689821,0.0003449933,0.9432034,0.00007998864,0.0005204699,0.002631555,0.0003455053,0.004155045,0.00643553,0.03897709,0.003178626,0.00008088253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756762,0.007032569,0.006978653,0.002372209,0.0001619525,0.00001616033,0.001375482,0.0001143701,0.006272503],"genre_scores_gemma":[0.9947108,0.001140861,0.002322537,0.0002428405,0.0001308854,0.00001369137,0.0002953037,0.00004060292,0.001102461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003218416,"threshold_uncertainty_score":0.01076669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0362734064377567,"score_gpt":0.3511358395064555,"score_spread":0.3148624330686989,"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."}}