{"id":"W6884327055","doi":"10.1021/acs.est.1c04042.s001","title":"Air\\nQuality Data Approach for Defining Wildfire Influence:\\nImpacts on PM<sub>2.5</sub>, NO<sub>2</sub>, CO, and O<sub>3</sub> in Western Canadian Cities","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Air quality index; Interception; Climate change; Air pollution; Smoke; Baseline (sea); Vegetation (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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001182651,0.0005189751,0.0004203698,0.007801787,0.0009566926,0.001891637,0.00113928,0.0005493213,0.001457451],"category_scores_gemma":[0.002844574,0.0002598996,0.0004807221,0.005302629,0.000414772,0.0008658094,0.001509176,0.0005253489,0.0005523571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003052752,"about_ca_system_score_gemma":0.004785217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5442848,"about_ca_topic_score_gemma":0.6671842,"domain_scores_codex":[0.9989281,0.00008440085,0.0001374425,0.0002203218,0.0004821261,0.0001475067],"domain_scores_gemma":[0.9978895,0.0002314871,0.000312993,0.0002465211,0.001190135,0.0001293802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001995168,0.0002363536,0.8131952,0.0003335286,0.000265309,0.0002853049,0.001416851,0.02058305,0.008891585,0.007859464,0.01051411,0.1362198],"study_design_scores_gemma":[0.00003074884,0.00008196673,0.7829643,0.0001483861,0.0001354891,0.0001516149,0.004569865,0.1361277,0.01113635,0.002346748,0.06221903,0.00008779108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7252139,0.0008752955,0.1037229,0.000638207,0.0001030519,0.001070002,0.1271724,0.0019901,0.03921413],"genre_scores_gemma":[0.865801,0.0003005605,0.06596296,0.0001199678,0.00003095542,0.0006441395,0.06376887,0.0001087422,0.003262854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4557152,"threshold_uncertainty_score":0.9167981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03764288734428705,"score_gpt":0.2541166824570026,"score_spread":0.2164737951127155,"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."}}