{"id":"W2100971095","doi":"10.1093/annhyg/mei068","title":"Statistical Modelling of Formaldehyde Occupational Exposure Levels in French Industries, 1986–2003","year":2005,"lang":"en","type":"article","venue":"The Annals of Occupational Hygiene","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Sampling (signal processing); Formaldehyde; Occupational exposure; Correlation coefficient; Statistics; Ventilation (architecture); Exposure assessment; Occupational medicine; Inhalation exposure; Environmental science; Toxicology; Environmental health; Medicine; Mathematics; Chemistry; Inhalation; Geography; Engineering; Biology; Meteorology; Anesthesia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.007218319,0.0007706864,0.0007978764,0.002521337,0.0004789721,0.001539526,0.001329166,0.0007629032,0.002602349],"category_scores_gemma":[0.01139888,0.0005345849,0.002494884,0.001919212,0.0004239011,0.0003836435,0.0005234992,0.0006255735,0.0005756008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004912571,"about_ca_system_score_gemma":0.0020881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3380097,"about_ca_topic_score_gemma":0.1572779,"domain_scores_codex":[0.9973726,0.001348323,0.0001661546,0.0005681686,0.0002605846,0.0002841494],"domain_scores_gemma":[0.9913102,0.005989898,0.0009993047,0.000417412,0.001167716,0.000115473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003741741,0.00007513926,0.2655856,0.0001636809,0.0009653083,0.000382608,0.0003749348,0.6934259,0.00122855,0.0024261,0.002550945,0.03244715],"study_design_scores_gemma":[0.00002990487,0.0001882239,0.2480467,0.00005989395,0.0001865438,0.000180261,0.0002147683,0.7437755,0.0006149228,0.00123953,0.005409438,0.00005422477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9356027,0.002465939,0.04576965,0.0008593685,0.00004569103,0.0001184401,0.01186345,0.0007913379,0.002483431],"genre_scores_gemma":[0.9767272,0.0005057576,0.01011069,0.00006131116,0.00002581285,0.0001952051,0.009348553,0.00007127538,0.002954225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3380097,"threshold_uncertainty_score":0.6720846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2923256326255471,"score_gpt":0.3992991652609282,"score_spread":0.1069735326353811,"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."}}