{"id":"W4415046543","doi":"10.32920/30329818.v1","title":"Mathematics for Public and Occupational Health Professionals: 2nd Edition","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Optimization and Mathematical Programming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Metropolitan area; Occupational safety and health; Key (lock); Health professionals","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":[0.000744689,0.001458822,0.001021132,0.002093834,0.0006141002,0.003659478,0.0008574966,0.0009140382,0.08431996],"category_scores_gemma":[0.003636884,0.0005688841,0.0006994921,0.002324001,0.001333334,0.003357483,0.00132644,0.003113728,0.05570129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001388657,"about_ca_system_score_gemma":0.00157859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408416,"about_ca_topic_score_gemma":0.001407315,"domain_scores_codex":[0.9994316,0.00009221745,0.00005122835,0.00009582223,0.0002855147,0.00004366134],"domain_scores_gemma":[0.9988966,0.0004006546,0.00007661157,0.0001581913,0.0003894736,0.00007847467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000200567,0.00003160542,0.0001762644,0.0004241617,0.000009060599,0.00006299952,0.0003764922,0.0008126649,0.00072008,0.1336555,0.6944821,0.1692289],"study_design_scores_gemma":[0.000003998708,0.00001065745,0.0004061227,0.000193733,0.000003339322,0.0001396639,0.00007146952,0.0003283991,0.0001248702,0.06632499,0.9323848,0.000008016525],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003124724,0.1157255,0.0856598,0.02349372,0.01781523,0.0001538089,0.005852771,0.003340712,0.7448338],"genre_scores_gemma":[0.04386522,0.08282096,0.05249177,0.004553564,0.009527477,0.0004857884,0.006183946,0.002873562,0.7971978],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08431996,"threshold_uncertainty_score":0.2820784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0610590105641526,"score_gpt":0.3461992853952491,"score_spread":0.2851402748310965,"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."}}