{"id":"W4238719371","doi":"10.2196/preprints.9369","title":"Health Information on Firefighter Websites: Structured Analysis (Preprint)","year":2017,"lang":"en","type":"preprint","venue":"","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Preprint; Work (physics); The Internet; Resource (disambiguation); Business; Descriptive statistics; Health information; Occupational safety and health; Environmental health; Medicine; Geography; Political science; World Wide Web; Computer science; Health care; Engineering; Psychiatry; Statistics","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":[0.004624008,0.0002665406,0.0005713495,0.0102377,0.0009139272,0.00191507,0.0003965058,0.0003459342,0.01387211],"category_scores_gemma":[0.03500143,0.0003035696,0.001045174,0.01744248,0.0005287971,0.001419384,0.001393598,0.0005991192,0.002380053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004469277,"about_ca_system_score_gemma":0.01082916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06414066,"about_ca_topic_score_gemma":0.1093421,"domain_scores_codex":[0.9963887,0.0009199962,0.0008361711,0.0003496797,0.001082363,0.0004232061],"domain_scores_gemma":[0.960518,0.01970122,0.005496928,0.001326266,0.01218686,0.0007707136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001220578,0.000453799,0.4866532,0.02060685,0.00030399,0.0006021442,0.04797676,0.0006671794,0.002691685,0.003547754,0.1807896,0.2544864],"study_design_scores_gemma":[0.0001615294,0.0003002299,0.8253373,0.005111022,0.000236998,0.0002425229,0.05038876,0.001401345,0.0014702,0.001052927,0.1141758,0.0001213955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6013663,0.001566517,0.003107736,0.002144397,0.0001379261,0.01077045,0.354823,0.000463019,0.02562062],"genre_scores_gemma":[0.7388585,0.002887907,0.03604812,0.001830129,0.0001964692,0.0244749,0.178619,0.0003228774,0.016762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06414066,"threshold_uncertainty_score":0.1275346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07010280866046888,"score_gpt":0.4687887904420559,"score_spread":0.398685981781587,"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."}}