{"id":"W2084586550","doi":"10.1038/jes.2013.78","title":"Geospatial relationships of air pollution and acute asthma events across the Detroit–Windsor international border: Study design and preliminary results","year":2013,"lang":"en","type":"article","venue":"Journal of Exposure Science & Environmental Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Public Health Agency of Canada; University of Windsor","funders":"Health Canada; University of Windsor; Henry Ford Health System; Wayne State University","keywords":"Asthma; Air quality index; Windsor; Environmental health; Environmental science; Population; Cotinine; Air pollution; Geospatial analysis; Environmental epidemiology; Geography; Medicine; Meteorology; Cartography; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01046921,0.0001570695,0.0003323213,0.00007016064,0.0006127949,0.00001448302,0.0004869321,0.0001046375,0.0001132646],"category_scores_gemma":[0.001625735,0.0001059723,0.00005182175,0.0001523769,0.001729801,0.0009744628,0.000429025,0.0004227172,0.0000183136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002322402,"about_ca_system_score_gemma":0.00003745588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001954444,"about_ca_topic_score_gemma":0.00001949689,"domain_scores_codex":[0.9965491,0.001096619,0.001100384,0.0003282577,0.0005097255,0.0004158893],"domain_scores_gemma":[0.9975381,0.0008781219,0.001071961,0.0002273413,0.00001567942,0.0002688164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007015913,0.0003972095,0.96106,0.000003509122,0.00004084024,0.000005622906,0.0063887,0.009991143,0.00330969,0.00003318916,0.0006808439,0.01738768],"study_design_scores_gemma":[0.0009474552,0.003227573,0.9895129,0.00001348057,0.00002050629,0.0002196417,0.002498068,0.001933138,0.0001170631,0.00116188,0.0002535685,0.00009470703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863644,0.0001409064,0.003313945,0.009409557,0.0002137565,0.00050187,0.00001886325,0.00000399565,0.00003266911],"genre_scores_gemma":[0.9914932,0.000201757,0.00717367,0.001008631,0.00005637981,0.000007978871,0.000001944777,0.000006785168,0.00004961649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02845293,"threshold_uncertainty_score":0.6373524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04633469802198574,"score_gpt":0.3483732437728513,"score_spread":0.3020385457508655,"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."}}