{"id":"W1975049482","doi":"10.1097/01.ede.0000362613.09911.3f","title":"Estimating Retrospectively Exposures to Outdoor Air Pollution at the Intraurban Scale in an Ontario Cohort Study","year":2009,"lang":"en","type":"article","venue":"Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Health Canada; Dalhousie University","funders":"","keywords":"Linear regression; Statistics; Environmental science; Scale (ratio); Regression analysis; Inverse distance weighting; Windsor; Geography; Regression; Air pollution; Mathematics; Cartography; Multivariate interpolation","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005216335,0.0001380931,0.0003666444,0.00003321035,0.0002998221,0.000004872866,0.0002315201,0.0001009129,0.0005303586],"category_scores_gemma":[0.001230007,0.0001002095,0.00003128753,0.000168533,0.0001338547,0.0001483949,0.000108177,0.000304124,0.0002342138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001562453,"about_ca_system_score_gemma":0.00002769719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07231159,"about_ca_topic_score_gemma":0.5569234,"domain_scores_codex":[0.9972321,0.00109183,0.0005371422,0.000456824,0.0001404751,0.0005416302],"domain_scores_gemma":[0.9989918,0.0002786022,0.0001491737,0.0003585469,0.000005678232,0.0002161415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006038448,0.0001475469,0.970123,8.118985e-7,0.000002321928,0.000001919797,0.006653116,0.01374912,0.00004171251,0.00007611849,0.005834125,0.003309817],"study_design_scores_gemma":[0.0002008182,0.001180503,0.9934965,0.000005770958,0.00000529606,0.000005016322,0.0002455946,0.000912638,0.00001166101,0.003146107,0.0006793088,0.0001107263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9700245,0.00001289001,0.0009867174,0.02673197,0.0001450209,0.0008043443,0.000002373593,0.00003561594,0.001256519],"genre_scores_gemma":[0.9651251,6.646143e-7,0.005407646,0.02893834,0.00008523677,0.00003128328,0.00000388643,0.000005621828,0.0004022257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4846119,"threshold_uncertainty_score":0.933866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06337036331086333,"score_gpt":0.3660210244403871,"score_spread":0.3026506611295238,"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."}}