{"id":"W1522896985","doi":"10.1002/9780470057339.vag022.pub2","title":"Global Environmental Epidemiology Network ( <scp>WHO</scp> )","year":2012,"lang":"en","type":"other","venue":"Encyclopedia of Environmetrics","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Epidemiology; Environmental health; Environmental epidemiology; Geography; Environmental protection; Environmental planning; Medicine; Pathology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009400914,0.001014215,0.001356006,0.0002218367,0.0001394791,0.000008848682,0.001075647,0.00145863,0.0295265],"category_scores_gemma":[0.0006581572,0.00100296,0.0004227569,0.0008255679,0.001228672,0.00021325,0.001181042,0.0005645539,0.006221842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006107247,"about_ca_system_score_gemma":0.00001404539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003989883,"about_ca_topic_score_gemma":0.00006033429,"domain_scores_codex":[0.9948441,0.0004325149,0.001000223,0.001083088,0.0008377545,0.001802371],"domain_scores_gemma":[0.9957419,0.0008549719,0.001239186,0.001366851,8.249546e-7,0.0007962371],"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":[0.000003565515,0.0002786018,0.3491151,0.00002292347,0.00009739095,0.00001183413,0.00003407324,0.008265703,0.000004472072,0.0002143644,0.6320679,0.009884019],"study_design_scores_gemma":[0.0002751344,0.00009934635,0.2661954,0.00003042178,0.0001537068,0.00001624742,0.00001432397,0.00001343434,0.000004890339,0.000451661,0.7324431,0.0003022914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005207801,0.01214361,0.001156811,0.00002865666,0.001217504,0.0004676559,0.0003536473,0.0001555544,0.9792687],"genre_scores_gemma":[0.01295463,0.05412332,0.01077814,0.0006889881,0.002054733,0.00004941003,0.0005192041,0.0009292573,0.9179023],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1003752,"threshold_uncertainty_score":0.9998377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252316761240879,"score_gpt":0.2294309888193475,"score_spread":0.2169078212069387,"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."}}