{"id":"W2086763105","doi":"10.1139/x07-094","title":"Reformulation of Rothermel’s wildland fire behaviour model for heterogeneous fuelbedsThis article is one of a selection of papers published in the Special Forum on the Fuel Characteristic Classification System.","year":2007,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest Research Station; Joint Fire Science Program","keywords":"Wind speed; Set (abstract data type); Environmental science; Computer science; Model selection; Selection (genetic algorithm); Meteorology; Operations research; Engineering; Artificial intelligence; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001036287,0.0008958345,0.001029492,0.0005366612,0.0003890625,0.001226338,0.00270522,0.001690451,0.00484012],"category_scores_gemma":[0.002252212,0.0005157509,0.001289447,0.0004343969,0.000650042,0.001329917,0.001116377,0.00157875,0.000738291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002180626,"about_ca_system_score_gemma":0.001488841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03422361,"about_ca_topic_score_gemma":0.01641287,"domain_scores_codex":[0.9995789,0.00009980584,0.00002189268,0.0001168309,0.0001146703,0.00006786036],"domain_scores_gemma":[0.9995535,0.0001610387,0.00006556744,0.0000343379,0.0001518154,0.0000337323],"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":[0.00002283532,0.00003262348,0.0005095819,0.00004891492,0.00001602763,0.0001378775,0.00006917946,0.9051136,0.0009753351,0.08551808,0.001858649,0.00569727],"study_design_scores_gemma":[0.000006653272,0.000007324088,0.00007704418,0.000003244204,0.000004500825,0.00001421002,0.000006970721,0.9927223,0.00009219047,0.005986298,0.001074275,0.000004863564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03460452,0.00075052,0.9339346,0.001383211,0.0002064979,0.0001783759,0.001106429,0.0002286284,0.02760725],"genre_scores_gemma":[0.8190073,0.0008753389,0.1323654,0.0004787431,0.0002082992,0.000633168,0.001392645,0.000185981,0.0448531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03422361,"threshold_uncertainty_score":0.06804883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03467478727051853,"score_gpt":0.2727763059681819,"score_spread":0.2381015186976633,"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."}}