{"id":"W7119015939","doi":"10.5683/sp3/cjlvq6","title":"Replication Data for: Canadian 2023 and 2025 Boreal Forest Wildfires: Downwind Formaldehyde to Nitrogen Dioxide Ratios and Implications for Surface Ozone Production","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"","keywords":"Taiga; Boreal; Ozone; Formaldehyde; Wind speed; Nitrogen dioxide; Satellite","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":[0.002023565,0.001656105,0.001499816,0.003150491,0.003596945,0.003559509,0.003253773,0.00126123,0.1734755],"category_scores_gemma":[0.01497458,0.0007669601,0.001456859,0.0116517,0.0005195747,0.001372977,0.00190533,0.001741418,0.06917873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009857537,"about_ca_system_score_gemma":0.03776013,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9093971,"about_ca_topic_score_gemma":0.9375053,"domain_scores_codex":[0.9975759,0.0001315457,0.0001770279,0.0005229631,0.001051903,0.0005406727],"domain_scores_gemma":[0.9812951,0.0009106016,0.0006217642,0.003089529,0.01319767,0.0008853943],"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":[0.00007175556,0.00001000195,0.001693858,0.0001765012,0.00003113878,0.00001014552,0.00003349745,0.0001207436,0.00008994166,0.0004367906,0.9940305,0.003295085],"study_design_scores_gemma":[0.0001868398,0.0000132333,0.03060601,0.0002786822,0.00005443897,0.00002382344,0.0002519557,0.0002119213,0.0005594666,0.0006160956,0.9671112,0.00008639629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001658306,0.00002549582,0.00006203035,0.00008922436,0.00008621669,0.00002834013,0.9973986,0.000108792,0.002035495],"genre_scores_gemma":[0.001836422,0.00005404724,0.0004651001,0.0001134444,0.00002799567,0.0001953413,0.991604,0.0001616392,0.005541929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1734755,"threshold_uncertainty_score":0.5803334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03932312009693761,"score_gpt":0.3186311240790786,"score_spread":0.279308003982141,"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."}}