{"id":"W4220802620","doi":"10.3390/su14073881","title":"Wildfire Risk Forecasting Using Weights of Evidence and Statistical Index Models","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Aeronautics and Space Administration","keywords":"Land cover; Statistics; Receiver operating characteristic; Environmental science; Altitude (triangle); Index (typography); Physical geography; Geography; Mathematics; Land use; Computer science; Engineering; Civil engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007272035,0.001296348,0.001736502,0.005884758,0.0004640192,0.003265859,0.001612333,0.001565015,0.001628439],"category_scores_gemma":[0.0280902,0.0006458068,0.002041697,0.003154377,0.000548186,0.002529309,0.001051725,0.00195296,0.0002728884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590151,"about_ca_system_score_gemma":0.001469778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101511,"about_ca_topic_score_gemma":0.008675962,"domain_scores_codex":[0.9971372,0.00103956,0.0004370596,0.0005124763,0.000655853,0.0002178612],"domain_scores_gemma":[0.9781435,0.01678359,0.002372318,0.0004404217,0.001858639,0.0004015831],"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":[0.0002690122,0.0002461242,0.06267716,0.0002871258,0.0005865209,0.0003274776,0.0001487048,0.8335973,0.0003723783,0.008677132,0.001645034,0.09116607],"study_design_scores_gemma":[0.00001126978,0.00006618346,0.003153557,0.00004892201,0.00005753262,0.000040374,0.00003409417,0.9905788,0.00009570128,0.005514689,0.0003825347,0.0000162566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4483933,0.006031204,0.531482,0.002493557,0.0003072924,0.0005456838,0.002825964,0.0005420728,0.007378991],"genre_scores_gemma":[0.9448953,0.001305623,0.05072198,0.0001075957,0.0001303322,0.000227393,0.001192153,0.00001991126,0.001399837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01101511,"threshold_uncertainty_score":0.03845865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04171434710034942,"score_gpt":0.2728304445764953,"score_spread":0.2311160974761459,"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."}}