{"id":"W2608687977","doi":"10.1093/sleepj/zsx050.791","title":"0792 SLEEP OPTIMIZATION IMPROVES MOOD DIFFERENTLY BETWEEN CANADIAN NATIONAL TEAM CURLERS AND ROWERS","year":2017,"lang":"en","type":"article","venue":"SLEEP","topic":"High Altitude and Hypoxia","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep & Circadian Network; University of Calgary","funders":"","keywords":"Mood; Sleep (system call); Psychology; Medicine; Psychiatry; Clinical psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002773035,0.0003219048,0.0003981529,0.0002238742,0.0009618724,0.0003303684,0.0002780858,0.0002464,0.002898194],"category_scores_gemma":[0.000410342,0.0001537392,0.0003296278,0.0001882984,0.0002518751,0.00009038565,0.0002799688,0.0003130587,0.0002232143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661615,"about_ca_system_score_gemma":0.002307412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5372899,"about_ca_topic_score_gemma":0.8214502,"domain_scores_codex":[0.999808,0.00001786801,0.000007251222,0.0000303322,0.00005743001,0.00007904848],"domain_scores_gemma":[0.9998149,0.00001346429,0.00002418827,0.000007885577,0.00005629501,0.00008330018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0268105,0.01509108,0.5189042,0.001510816,0.001514757,0.0004528615,0.005992459,0.0009122411,0.07766224,0.0002675382,0.009559563,0.3413217],"study_design_scores_gemma":[0.0003325027,0.005158149,0.9892909,0.00005111983,0.0001072973,0.00004675954,0.001592576,0.0002327372,0.001015677,0.00002447377,0.002129643,0.00001813777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984652,0.0002034675,0.00004087322,0.00004259366,0.00001102561,0.00004225904,0.0001008997,0.000004549705,0.001089031],"genre_scores_gemma":[0.9941067,0.0003979897,0.0005343293,0.000131578,0.000009278803,0.00008139919,0.0004672323,0.000004825858,0.004266676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4627101,"threshold_uncertainty_score":0.9308702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01009295193235787,"score_gpt":0.2437595531836964,"score_spread":0.2336666012513386,"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."}}