{"id":"W4282046789","doi":"10.24000/0409-2961-2022-4-69-74","title":"Selection of the Methodology for Predicting the Forest Fires Risks","year":2022,"lang":"en","type":"article","venue":"Occupational Safety in Industry","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taiga; Russian federation; Geography; Boreal; Forestry; Environmental protection; Physical geography; Environmental resource management; Environmental science; Regional science; Archaeology","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":[0.00249676,0.0009147173,0.000676651,0.002093979,0.0004363319,0.001165813,0.0009144882,0.0007014187,0.000635412],"category_scores_gemma":[0.005630394,0.0002678342,0.001075349,0.0009284269,0.0002198607,0.0008887741,0.0006070544,0.0006600677,0.0002399587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006347141,"about_ca_system_score_gemma":0.001463261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007848704,"about_ca_topic_score_gemma":0.003501749,"domain_scores_codex":[0.9989679,0.0003308118,0.00008430591,0.0001994814,0.0003114291,0.0001060553],"domain_scores_gemma":[0.9989952,0.0004138004,0.0001478127,0.00005643843,0.0003481722,0.00003851366],"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":[0.0002723791,0.0003632808,0.06195075,0.0005095237,0.0003491406,0.0004750739,0.0002435374,0.5516308,0.01179453,0.007159317,0.00153168,0.36372],"study_design_scores_gemma":[0.00001327152,0.0001553451,0.009973924,0.0000765458,0.00008632744,0.00009995735,0.0001168346,0.9817594,0.003989147,0.002421243,0.00128434,0.00002364544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1791256,0.001103075,0.8139723,0.0002210733,0.00007674658,0.0004793744,0.0003209165,0.0006114323,0.004089579],"genre_scores_gemma":[0.8107443,0.0008551295,0.1866086,0.00004042708,0.0000447359,0.000381225,0.0004402197,0.00004295084,0.0008423551],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007848704,"threshold_uncertainty_score":0.01560605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06567314993878509,"score_gpt":0.3224693531473517,"score_spread":0.2567962032085666,"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."}}