{"id":"W4378605201","doi":"10.1353/cye.2004.0040","title":"Child Health and the EnvironmentDonald Wigle","year":2004,"lang":"en","type":"article","venue":"Children Youth and Environments","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental epidemiology; Environmental health; Public health; Population; Environmental pollution; Medicine; Psychology; Geography; Environmental protection; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000139367,0.0001913126,0.0002095193,0.00003954768,0.0005123939,0.00006899878,0.0001240087,0.00005319013,0.00002260413],"category_scores_gemma":[0.000007416871,0.0001344985,0.0000506556,0.00004042186,0.0004102068,0.0001301473,0.0001100394,0.0001894714,0.00003493745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005051199,"about_ca_system_score_gemma":0.000002713073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001676635,"about_ca_topic_score_gemma":0.000002574515,"domain_scores_codex":[0.9988908,0.00006089627,0.0002145228,0.000340752,0.0001957101,0.0002973073],"domain_scores_gemma":[0.999443,0.00001463172,0.00008022707,0.0002290037,7.140947e-7,0.0002324503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003074471,0.00169059,0.8868932,0.0001045646,0.0003902607,0.000006977912,0.05646546,0.0002664849,0.0001412811,0.001956914,0.001568183,0.04744167],"study_design_scores_gemma":[0.01563824,0.0002048227,0.9765521,0.00008824492,0.00006319771,0.00008867812,0.0003561733,0.00000700756,0.0006234169,0.001938889,0.004114954,0.0003242911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9794009,0.004279429,0.00007353321,0.01519025,0.0001183483,0.0004891256,0.00005609748,0.00002825221,0.0003641178],"genre_scores_gemma":[0.9898566,0.001570584,0.00007785905,0.008156377,0.0001407583,0.000009487876,0.000124033,0.00002279119,0.00004150071],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08965895,"threshold_uncertainty_score":0.5484691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007694418886932454,"score_gpt":0.2041871346130683,"score_spread":0.1964927157261358,"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."}}