{"id":"W3111828848","doi":"10.5802/crmeca.58","title":"Deterministic optimization techniques to calibrate parameters in a wildland fire propagation model","year":2020,"lang":"en","type":"article","venue":"Comptes Rendus Mécanique","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Humanities; Physics; Forestry; Art; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001539261,0.0001753919,0.0002090049,0.00003937957,0.00005124151,0.00005419408,0.0002387364,0.0000924011,0.0001077947],"category_scores_gemma":[0.0001148251,0.0001722361,0.00003069,0.0003650657,0.00004206286,0.0002103603,0.0001354618,0.0001449962,0.0001360507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002022233,"about_ca_system_score_gemma":0.00002066074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004082002,"about_ca_topic_score_gemma":0.0001208756,"domain_scores_codex":[0.9987549,0.0001242722,0.0002860221,0.000404801,0.0001874738,0.0002425262],"domain_scores_gemma":[0.9994715,0.00005432563,0.00008528898,0.0001991331,0.000007171358,0.0001825689],"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":[0.00003974693,0.00003746984,0.006376858,0.00003574924,0.000003276538,0.0000209668,0.0005389203,0.9722655,0.007819669,0.000006565229,0.004968481,0.007886791],"study_design_scores_gemma":[0.0001254141,0.0001869324,0.0005400588,0.0000627144,0.000004629061,0.000004853351,0.000008924668,0.9924976,0.00611438,0.00004481059,0.0001968397,0.0002128028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7749864,0.0000154488,0.2207806,0.001395596,0.00005063738,0.001405393,0.00001783621,0.0002883319,0.001059693],"genre_scores_gemma":[0.9566978,0.000007440979,0.04173894,0.001263029,0.00001824072,0.0001929238,0.00001730058,0.00002931154,0.00003500543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1817114,"threshold_uncertainty_score":0.7023584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746818568262322,"score_gpt":0.2266629518098725,"score_spread":0.2091947661272492,"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."}}