{"id":"W3049386731","doi":"10.1093/milmed/usaa210","title":"The Importance of Validating Sleep Behavior Models for Fatigue Management Software in Military Aviation","year":2020,"lang":"en","type":"article","venue":"Military Medicine","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"Defence Research and Development Canada","keywords":"Aviation; Aeronautics; Military aviation; Military personnel; Military medicine; Aviation medicine; Navy; Aviation safety; Human factors and ergonomics; Poison control; Engineering; Medicine; Psychology; Applied psychology; Computer science; Medical emergency; Aerospace engineering; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006661657,0.00085182,0.0004013815,0.0005013365,0.0004241074,0.001240415,0.001697909,0.0006328715,0.00159421],"category_scores_gemma":[0.03082446,0.0004359162,0.0005941208,0.0002457722,0.0003403961,0.00117337,0.0006657413,0.0008731235,0.0003654344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001688271,"about_ca_system_score_gemma":0.00265697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03957506,"about_ca_topic_score_gemma":0.03596142,"domain_scores_codex":[0.9979748,0.001036432,0.0001844135,0.0002841618,0.0004253075,0.00009484113],"domain_scores_gemma":[0.9842401,0.01065103,0.001262661,0.001304084,0.002295041,0.0002472006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009818533,0.001409427,0.08941013,0.0004931601,0.0004436065,0.00009225695,0.0010464,0.7405185,0.01509811,0.001993854,0.003087366,0.1454253],"study_design_scores_gemma":[0.0001089552,0.0007233595,0.01708946,0.0001465781,0.00009966899,0.00003732038,0.0001850223,0.9713166,0.006295061,0.001389479,0.002550957,0.00005761273],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.794847,0.0003051389,0.1924348,0.0008052784,0.00009565726,0.0008375703,0.001031596,0.004870999,0.004771927],"genre_scores_gemma":[0.9024043,0.0001214614,0.09504443,0.0001598355,0.00001590054,0.0004249855,0.0009975595,0.000257134,0.0005743822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03957506,"threshold_uncertainty_score":0.0786894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06548409473860996,"score_gpt":0.3282422580431587,"score_spread":0.2627581633045488,"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."}}