{"id":"W4364305296","doi":"10.1109/ihsh57076.2022.10092165","title":"Detection of Occupational Fatigue in Digital Era; Parameters In Use","year":2022,"lang":"en","type":"article","venue":"","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Sept Iles; Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001104874,0.00006642533,0.00009696253,0.0002784375,0.00002556134,0.0000114041,0.00007866495,0.00005574293,0.0007712141],"category_scores_gemma":[0.00004472616,0.00007028889,0.00003723073,0.0004887657,0.0000242299,0.0001450624,0.00003360364,0.0002493299,0.00002138524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006459654,"about_ca_system_score_gemma":0.00001438455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001126758,"about_ca_topic_score_gemma":0.0004107294,"domain_scores_codex":[0.9992383,0.00006374011,0.0002601644,0.0001698161,0.0001286835,0.0001393648],"domain_scores_gemma":[0.9995896,0.0001874873,0.00005437541,0.0001345778,0.000013046,0.00002095035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005301448,0.0005046782,0.9223008,0.00000109463,0.0000458458,0.0000266821,0.001798138,0.008475073,0.0001386133,0.002833803,0.0003969556,0.0629482],"study_design_scores_gemma":[0.002265468,0.000259165,0.9939142,0.00001754704,0.000007097824,0.000007209489,0.001712992,0.0005071277,0.0006220996,0.0002418453,0.0002287165,0.0002164913],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947531,0.00002054465,0.0006770459,0.00003231596,0.0003380931,0.0001441754,0.00002109826,0.00002139961,0.003992195],"genre_scores_gemma":[0.99951,6.085828e-7,0.000117718,0.00008610669,0.000005780336,0.00006593084,0.00003256861,0.000008053157,0.0001731645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07161348,"threshold_uncertainty_score":0.8444254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06171011986244231,"score_gpt":0.318527005581817,"score_spread":0.2568168857193747,"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."}}