{"id":"W2608355082","doi":"10.1093/sleepj/zsx050.802","title":"0803 WHY SLEEP MATTERS: THE MACROECONOMIC COSTS OF INSUFFICIENT SLEEP","year":2017,"lang":"en","type":"article","venue":"SLEEP","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Absenteeism; Presenteeism; Productivity; Population; Economics; Human capital; Demographic economics; Public health; Sleep (system call); Medicine; Economic growth; Environmental health","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008285131,0.0001383371,0.0002227038,0.00004133927,0.001258881,0.0002166717,0.00136598,0.00009296152,0.000870368],"category_scores_gemma":[0.00007300334,0.0001050867,0.0001555403,0.00007589698,0.001027174,0.0003977939,0.00009973301,0.0001597839,0.0001417504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204275,"about_ca_system_score_gemma":0.00004904301,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007667803,"about_ca_topic_score_gemma":0.009572225,"domain_scores_codex":[0.9985842,0.0000912981,0.0003296522,0.0003088432,0.0002931692,0.0003928133],"domain_scores_gemma":[0.9985362,0.00006647088,0.0003394949,0.0008645793,0.000080677,0.000112525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007489175,0.0003818167,0.9277274,0.00003833891,0.00008678943,0.000010617,0.01253973,0.00007501779,0.0003280249,0.01524311,0.004621258,0.03887304],"study_design_scores_gemma":[0.001142636,0.00009084948,0.8293193,0.00006240751,0.0001305495,6.579744e-7,0.00379133,0.0006706759,0.001654256,0.004375273,0.1582051,0.0005569654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9586318,0.000184055,0.0001802842,0.008894265,0.001051535,0.0003606574,0.00003227846,0.00004447754,0.03062064],"genre_scores_gemma":[0.9981359,0.00001845842,0.00004880824,0.001119258,0.0002421827,0.00001623734,0.000005465792,0.00001259467,0.0004011461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1535839,"threshold_uncertainty_score":0.9989402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202468966536772,"score_gpt":0.2924938247378744,"score_spread":0.2722469280841972,"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."}}