{"id":"W7090708002","doi":"10.5683/sp3/2rrb4q","title":"Replication Data for: Summer 2023 Canadian Boreal Forest Wildfires: An Analysis of CO, HCHO, and NO2 Downwind Enhancement Rates","year":2025,"lang":"en","type":"dataset","venue":"Borealis","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Boreal; Taiga; Satellite; Wind speed; Wind direction","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002001731,0.001738889,0.001328152,0.002923105,0.003661293,0.003251381,0.003482851,0.001144117,0.1279494],"category_scores_gemma":[0.01074593,0.0008176878,0.001353034,0.008803711,0.000625789,0.001433902,0.00181251,0.001819883,0.06181338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008305545,"about_ca_system_score_gemma":0.03160151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9165646,"about_ca_topic_score_gemma":0.9437,"domain_scores_codex":[0.9979089,0.00009293516,0.0001273019,0.0004320694,0.000987488,0.0004512494],"domain_scores_gemma":[0.9847347,0.0006451291,0.0004892452,0.002559253,0.01073276,0.0008388379],"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":[0.00009269139,0.00001608827,0.002420693,0.0001829842,0.00003582809,0.00001380961,0.00005137382,0.0001991356,0.0002295268,0.0003613193,0.9922511,0.0041454],"study_design_scores_gemma":[0.0001842959,0.00001468971,0.04167982,0.0002509533,0.00005179598,0.00002486566,0.0002961247,0.0003568623,0.0008925771,0.0006044247,0.9555376,0.0001058396],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002872454,0.00002703473,0.000111281,0.00008012541,0.00008404977,0.00003368761,0.9967025,0.0002454219,0.002428652],"genre_scores_gemma":[0.002110717,0.00005017157,0.0006268286,0.00008761216,0.00002336862,0.0001471782,0.9923084,0.0002731427,0.004372567],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1279494,"threshold_uncertainty_score":0.4280333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133799006593132,"score_gpt":0.3042265638690476,"score_spread":0.2828885738031163,"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."}}