{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004167757,0.00008162761,0.0001957378,0.0002335047,0.0001230043,0.00003501599,0.0003798406,0.0000896507,0.0002223157],"category_scores_gemma":[0.0003210263,0.00005337471,0.00008467149,0.0004715474,0.0001706074,0.0001803748,0.00001175699,0.0002507806,0.000002526491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007286663,"about_ca_system_score_gemma":0.0001980152,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01004217,"about_ca_topic_score_gemma":0.1922127,"domain_scores_codex":[0.9980716,0.0001932249,0.0005985481,0.0001257609,0.0006563379,0.000354494],"domain_scores_gemma":[0.9987912,0.0002848185,0.0004028938,0.0002324055,0.0001514767,0.0001372737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006961878,0.0002167177,0.9528077,0.0002837318,0.00004443117,0.00001086129,0.005409896,0.006207482,0.02605101,0.0009702225,0.001177098,0.006124612],"study_design_scores_gemma":[0.0005335423,0.000794575,0.8802211,0.0002221238,0.00001618317,0.00003422065,0.001005195,0.1129368,0.003770586,0.0002901732,0.0001003062,0.00007520098],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997532,0.00001549822,0.0001088256,0.0007652297,0.00006904067,0.0007403611,0.00003133251,0.000001197593,0.00073654],"genre_scores_gemma":[0.9997575,0.000003075685,0.00003813149,0.0000245866,0.0001063621,0.00001733263,0.000003068631,0.00001262139,0.00003731882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1821705,"threshold_uncertainty_score":0.99655,"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."}}