{"id":"W4220832333","doi":"10.1016/j.apergo.2022.103744","title":"Measuring sleep parameters of naval sailors: A comparison between subjective self-report and wrist actigraphy","year":2022,"lang":"en","type":"article","venue":"Applied Ergonomics","topic":"Sleep and related disorders","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Actigraphy; Sleep (system call); Sleep onset latency; Sleep onset; Crew; Wrist; Physical therapy; Psychology; Latency (audio); Navy; Physical medicine and rehabilitation; Audiology; Circadian rhythm; Medicine; Computer science; Insomnia; Aeronautics; Psychiatry; Engineering; Surgery; Telecommunications; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003673328,0.0002096666,0.0004235939,0.0002206029,0.0002274506,0.00001612741,0.0002149673,0.000135696,0.00007849049],"category_scores_gemma":[0.000006847848,0.0002378102,0.0001162768,0.0002872726,0.0001321136,0.00003549697,0.0001399184,0.0004947619,0.00001803888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009545677,"about_ca_system_score_gemma":0.00002883021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003827771,"about_ca_topic_score_gemma":0.00001826683,"domain_scores_codex":[0.9984543,0.00007998712,0.0005027343,0.0004742678,0.0001637844,0.0003248891],"domain_scores_gemma":[0.998937,0.0002054715,0.0003658893,0.0003728703,0.00001976519,0.00009902605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004000067,0.001891282,0.8573644,0.00006710586,0.01250366,0.00008451862,0.03506889,0.004422591,0.0008440407,0.009386129,0.0022452,0.07212217],"study_design_scores_gemma":[0.01692253,0.001651577,0.8693848,0.00002564237,0.003739644,0.0003461675,0.07315651,0.000745555,0.005515294,0.005680594,0.01993763,0.002894026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9804119,0.0003582716,0.0002401125,0.00002927611,0.0004365318,0.0004089383,0.00002364658,0.0001058974,0.01798542],"genre_scores_gemma":[0.9988084,0.00002095386,0.0008504343,0.00004782623,0.00004172675,0.0001266717,0.00004434176,0.00004021488,0.00001944177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06922815,"threshold_uncertainty_score":0.969762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468517475060828,"score_gpt":0.2575961204990182,"score_spread":0.2329109457484099,"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."}}