{"id":"W2291696664","doi":"10.1093/annhyg/mev086","title":"Estimating Population Level Exposure","year":2015,"lang":"en","type":"letter","venue":"The Annals of Occupational Hygiene","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Occupational Cancer Research Centre","funders":"","keywords":"Population; Environmental science; Occupational exposure; Environmental health; Statistics; Medicine; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002771722,0.0002695866,0.0004306061,0.001029383,0.0002504553,0.0009552463,0.0005909328,0.001736236,0.002909551],"category_scores_gemma":[0.01252827,0.0003280668,0.0005642527,0.0007724337,0.0002518453,0.0007735308,0.0008446074,0.001192826,0.001508778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006439924,"about_ca_system_score_gemma":0.0006689181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01131518,"about_ca_topic_score_gemma":0.01528546,"domain_scores_codex":[0.9985858,0.0008053817,0.00008343129,0.0001966809,0.0002266321,0.0001019956],"domain_scores_gemma":[0.9971756,0.001632772,0.0002379998,0.0003311329,0.0005396389,0.0000827844],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001184461,0.0001818274,0.5631748,0.0002879142,0.0004198459,0.0008625984,0.0005446385,0.01187953,0.002210946,0.009383722,0.1000013,0.3109343],"study_design_scores_gemma":[0.00009946799,0.0008768447,0.5297751,0.001052022,0.0007963638,0.003227207,0.003112538,0.09688661,0.004920113,0.1127014,0.2464255,0.0001268817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.3292516,0.01258294,0.2839822,0.2063454,0.00583844,0.0005933142,0.01719092,0.001118009,0.1430972],"genre_scores_gemma":[0.8383845,0.006894179,0.09863126,0.02312242,0.002200687,0.0004981288,0.004161778,0.00007545592,0.02603161],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01131518,"threshold_uncertainty_score":0.02249861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2113920715578362,"score_gpt":0.3944024680851858,"score_spread":0.1830103965273496,"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."}}