{"id":"W7111022377","doi":"10.1371/journal.pone.0321722.s001","title":"Burn-P3 fire growth model simulations.","year":2025,"lang":"","type":"article","venue":"Figshare","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Compartmentalization (fire protection); Training (meteorology); Firefighting; Fire protection; Linear programming; Plan (archaeology); Landscape connectivity; Fire prevention","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":[0.0006242442,0.0008927236,0.0007464155,0.0005799395,0.0009265626,0.0008798233,0.002313734,0.001620801,0.01832627],"category_scores_gemma":[0.001808981,0.0004292545,0.0008653649,0.0009286135,0.0005375558,0.0005666534,0.0006355004,0.00165182,0.001381373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00187696,"about_ca_system_score_gemma":0.002237424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2053788,"about_ca_topic_score_gemma":0.2354301,"domain_scores_codex":[0.9997838,0.00004879662,0.00001029018,0.00003697436,0.0000562909,0.0000639365],"domain_scores_gemma":[0.9989077,0.0005526907,0.00007751107,0.00006451123,0.0002658685,0.0001316396],"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":[0.000140278,0.0001558075,0.00470573,0.0001028212,0.00005243487,0.0001173679,0.0000660717,0.977248,0.000617271,0.00428603,0.008383684,0.004124517],"study_design_scores_gemma":[0.00005337728,0.00001566152,0.0005999565,0.000007513836,0.00000852313,0.000009695273,0.00003247183,0.9958818,0.0002544892,0.0007690756,0.002359158,0.000008232353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7087284,0.0008620756,0.08528348,0.002546885,0.0006147698,0.0005003933,0.06348246,0.008679853,0.1293016],"genre_scores_gemma":[0.9128668,0.0003057541,0.05321736,0.0003399619,0.00004548531,0.0004755457,0.01913968,0.0008057614,0.0128036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2053788,"threshold_uncertainty_score":0.4083667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677432720133814,"score_gpt":0.2413702527479765,"score_spread":0.2245959255466384,"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."}}