{"id":"W2996256038","doi":"10.2196/16063","title":"Automatic Work-Hours Recorder for Medical Staff (Staff Hours): Mobile App Development","year":2019,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Sleep and Work-Related Fatigue","field":"Psychology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Health Research Institutes; Ministry of Science and Technology, Taiwan","keywords":"Overtime; Work hours; Medicine; Working hours; Work (physics); Workload; Work shift; Medical emergency; Nursing; Computer science; Operations management; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.000982451,0.0007610317,0.0004617506,0.001221973,0.0002523546,0.0005229341,0.0006673587,0.0003649503,0.004572063],"category_scores_gemma":[0.004127832,0.000338467,0.0004098543,0.000464481,0.0001145244,0.0006064524,0.0006977149,0.0003747306,0.004076684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001373321,"about_ca_system_score_gemma":0.0004013022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006859704,"about_ca_topic_score_gemma":0.001147637,"domain_scores_codex":[0.9992343,0.0001629564,0.00008536239,0.0001895555,0.0002680764,0.00005961199],"domain_scores_gemma":[0.9973557,0.001117661,0.0003582669,0.0001844872,0.0008149589,0.0001690876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00168164,0.0006907892,0.04656418,0.001912918,0.0001562061,0.0005582614,0.001711997,0.0006984359,0.02464158,0.000437792,0.05828908,0.862657],"study_design_scores_gemma":[0.0009420101,0.00441721,0.5495631,0.002164753,0.000919588,0.005667371,0.002527128,0.07572283,0.1218906,0.002582536,0.2328907,0.0007123718],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"software","genre_scores_codex":[0.5045656,0.004319949,0.3341115,0.0008549189,0.001012606,0.009767686,0.02496571,0.09003347,0.0303686],"genre_scores_gemma":[0.5270005,0.002099608,0.4286137,0.0006080477,0.0004844373,0.007342665,0.01185809,0.001727144,0.02026586],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.004572063,"threshold_uncertainty_score":0.01529509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0316978675383346,"score_gpt":0.3725821318413167,"score_spread":0.3408842643029821,"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."}}