{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000479935,0.0002559481,0.0004428633,0.0003595136,0.0005556946,0.002352569,0.0003347177,0.001203107,0.007081185],"category_scores_gemma":[0.002620292,0.0002967556,0.0007246024,0.0006137429,0.0005881758,0.001190344,0.0008345183,0.0009406122,0.0005965872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189244,"about_ca_system_score_gemma":0.001171154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03546049,"about_ca_topic_score_gemma":0.02394149,"domain_scores_codex":[0.9998109,0.00005404505,0.0000149153,0.00003181137,0.00002855477,0.00005983075],"domain_scores_gemma":[0.9989184,0.0002150635,0.0004077651,0.00005206156,0.0001804699,0.0002262834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00121519,0.0002651504,0.7088864,0.0007808156,0.001013409,0.002281561,0.0008380532,0.09652139,0.002323917,0.0662813,0.04061724,0.07897563],"study_design_scores_gemma":[0.00009431365,0.0002926367,0.8474395,0.0003517614,0.0004267073,0.0007324103,0.001874863,0.07523878,0.000512828,0.04877501,0.02416373,0.00009742049],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9142491,0.01442129,0.004958597,0.03042734,0.0005406434,0.00004880935,0.007146014,0.0001313346,0.02807685],"genre_scores_gemma":[0.9933193,0.002423461,0.0003089163,0.0004171721,0.0001260621,0.00001091106,0.0009162092,0.00001131307,0.002466642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03546049,"threshold_uncertainty_score":0.07050818,"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."}}