{"id":"W7125972703","doi":"10.13140/rg.2.2.31683.26403","title":"Machine Learning Algorithms for Alberta Wildfire Occurrence Prediction and Performance Evaluation","year":2024,"lang":"en","type":"article","venue":"Open MIND","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Random forest; Support vector machine; Statistical classification; Artificial neural network","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005410794,0.00109459,0.0007327878,0.002027564,0.0008853349,0.001348336,0.00198399,0.001407891,0.002456068],"category_scores_gemma":[0.01174704,0.0003104249,0.0005890392,0.001784616,0.000584736,0.0008520773,0.0008297719,0.001279786,0.0006494983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005237738,"about_ca_system_score_gemma":0.004679194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2955015,"about_ca_topic_score_gemma":0.2645018,"domain_scores_codex":[0.9983026,0.000534352,0.0001301865,0.0002479655,0.0005529154,0.0002320029],"domain_scores_gemma":[0.9925095,0.004575806,0.0002240104,0.0004540502,0.002028612,0.0002080431],"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":[0.0006454008,0.0006123552,0.01349011,0.000148269,0.0001640645,0.00007345513,0.00009781887,0.7027833,0.001374067,0.002902482,0.01269633,0.2650124],"study_design_scores_gemma":[0.00002875454,0.00006205617,0.002259373,0.0000112221,0.00001734886,0.00001349222,0.00002839589,0.9952609,0.0008477257,0.0008783451,0.0005842324,0.000008064068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7828644,0.006659094,0.186575,0.001166916,0.0004207593,0.0003214151,0.003753227,0.006620553,0.01161859],"genre_scores_gemma":[0.85993,0.0006642628,0.1265489,0.0001714626,0.0000680718,0.0001774534,0.005963563,0.0002164659,0.006259796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7044985,"threshold_uncertainty_score":0.587563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566896228456911,"score_gpt":0.2894500339440599,"score_spread":0.2637810716594908,"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."}}