{"id":"W2147518555","doi":"10.1139/x00-192","title":"Role of vegetation and weather on fire behavior in the Canadian mixedwood boreal forest using two fire behavior prediction systems","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":178,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boreal; Taiga; Deciduous; Vegetation (pathology); Environmental science; Fire regime; Basal area; Fire ecology; Physical geography; Atmospheric sciences; Ecology; Forestry; Geography; Ecosystem; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"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":[0.00069419,0.001030724,0.0004671508,0.0004174137,0.001150148,0.0008750958,0.0008537682,0.0004340138,0.0008441584],"category_scores_gemma":[0.001223814,0.0003764117,0.0006497806,0.0004150017,0.0004897654,0.0003002975,0.0003149102,0.0004401336,0.00006767687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009998785,"about_ca_system_score_gemma":0.007278024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9707322,"about_ca_topic_score_gemma":0.9696315,"domain_scores_codex":[0.9997459,0.00005602719,0.00001119019,0.00005479785,0.00004646045,0.00008562621],"domain_scores_gemma":[0.999356,0.0002447375,0.00005580094,0.0000203236,0.0001883327,0.0001348611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0005778553,0.0002814397,0.1618126,0.00005111769,0.0001480453,0.00008975747,0.0001387136,0.8262597,0.001506842,0.0003595499,0.0005854086,0.008189047],"study_design_scores_gemma":[0.0001107124,0.0001788044,0.07260635,0.000007465981,0.00006647861,0.00001388096,0.000159228,0.9258488,0.0005495593,0.00007973782,0.0003419809,0.00003702965],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982463,0.00003062343,0.0003851767,0.00004147339,0.000004588469,0.000022865,0.0002773911,0.00003844037,0.0009530787],"genre_scores_gemma":[0.9976603,0.00004104737,0.001317066,0.00001565825,0.000001971343,0.00001824448,0.0005307653,0.000006889502,0.0004080004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02926785,"threshold_uncertainty_score":0.0725466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0281401227919,"score_gpt":0.2882870307364775,"score_spread":0.2601469079445775,"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."}}