{"id":"W6961074327","doi":"10.14288/1.0220728","title":"Creating National Air Pollution Models for Population Exposure Assessment in Canada","year":2015,"lang":"en","type":"article","venue":"Open Collections","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air pollution; Pollutant; Population; Particulates; Exposure assessment; Weighting; Risk assessment; Regression analysis; National park","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001563885,0.0008851173,0.0006120133,0.001749252,0.00146001,0.001257787,0.001927033,0.0005950553,0.004448371],"category_scores_gemma":[0.004925403,0.0006687205,0.001536485,0.002530226,0.0005450243,0.0004955959,0.0009560894,0.0009906476,0.0008751366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02480615,"about_ca_system_score_gemma":0.03414167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839007,"about_ca_topic_score_gemma":0.9821942,"domain_scores_codex":[0.9992455,0.0001726212,0.00004008343,0.0001745203,0.0002428549,0.0001244629],"domain_scores_gemma":[0.9978971,0.0004843406,0.0001088011,0.00007183957,0.001355246,0.00008251842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003267431,0.00003462706,0.01757551,0.00007588929,0.0001130707,0.00007290946,0.000109145,0.9423839,0.0001420923,0.006665816,0.01010098,0.02269336],"study_design_scores_gemma":[0.00002003484,0.000008268028,0.00513252,0.00003277884,0.00004369955,0.00001822537,0.00008014157,0.9826852,0.0001106257,0.003056768,0.008786688,0.00002500097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2546224,0.002730196,0.6156624,0.003016738,0.0003508948,0.001336539,0.06384814,0.004661827,0.05377083],"genre_scores_gemma":[0.6594596,0.002171299,0.2780785,0.000593522,0.00007698672,0.001246741,0.03202873,0.0005578165,0.02578693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02480615,"threshold_uncertainty_score":0.1799821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09937108168714448,"score_gpt":0.3599575430760169,"score_spread":0.2605864613888724,"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."}}