{"id":"W4312922330","doi":"10.14195/978-989-26-2298-9_205","title":"The role of the fuel moisture content on the prediction of large wildfires using the Fire Weather Index system","year":2022,"lang":"en","type":"book-chapter","venue":"Imprensa da Universidade de Coimbra eBooks","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Water content; Meteorology; Moisture; Index (typography); Scale (ratio); Range (aeronautics); Atmospheric sciences; Geography; Engineering; Computer science; Cartography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006981907,0.0004093902,0.0003773125,0.00004350492,0.0009308044,0.00005673714,0.001566614,0.000295454,0.000213756],"category_scores_gemma":[0.00003732942,0.0002047234,0.0003917446,0.0000656928,0.0007120572,0.00006233715,0.0008257545,0.0008888188,0.00001102725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009804098,"about_ca_system_score_gemma":0.00009113881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003225331,"about_ca_topic_score_gemma":0.0005145284,"domain_scores_codex":[0.9973431,0.0004223068,0.0004543982,0.0004100078,0.000971624,0.0003985301],"domain_scores_gemma":[0.9970216,0.0005736063,0.0009255342,0.001379926,0.00003273346,0.0000665998],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002191895,0.0004179686,0.03651541,0.001309764,0.004622079,0.0001739518,0.03051397,0.007225849,0.09818511,0.7707765,0.01251188,0.03555567],"study_design_scores_gemma":[0.002955274,0.00100799,0.05400611,0.003018854,0.001534084,0.000292688,0.02694106,0.05152876,0.007796041,0.002807128,0.8466018,0.001510218],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3079838,0.0008620382,0.00002750146,0.0005558379,0.001179062,0.003821963,0.001574332,0.0001181918,0.6838772],"genre_scores_gemma":[0.9598385,0.00001463895,0.000002597018,0.0001158794,0.00007562319,0.00002034482,0.000006819495,0.0000675955,0.03985801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8340899,"threshold_uncertainty_score":0.8348379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182200772486859,"score_gpt":0.1836470901935626,"score_spread":0.171825082468694,"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."}}