{"id":"W4394086266","doi":"10.6084/m9.figshare.7102814","title":"FIRE BEHAVIOR VARIABLES AND HAZARD INDICES OF FOREST FIRES","year":2018,"lang":"en","type":"dataset","venue":"Figshare","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fire hazard; Hazard; Environmental science; Geography; Forestry; Statistics; Mathematics; Ecology; Biology","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":[0.0008940796,0.0007943866,0.0006944309,0.001837962,0.0002635213,0.0008346794,0.001014753,0.000801017,0.01382816],"category_scores_gemma":[0.004115583,0.0002050998,0.0009637048,0.002213921,0.0001539806,0.0004388255,0.0005742353,0.0007392872,0.00768872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000577769,"about_ca_system_score_gemma":0.0006305273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01695603,"about_ca_topic_score_gemma":0.03052706,"domain_scores_codex":[0.999554,0.00008331108,0.00006856925,0.0001602228,0.00007362598,0.00006033967],"domain_scores_gemma":[0.9987996,0.000516113,0.0002004504,0.0001929103,0.0002158215,0.00007504169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001397502,0.0003473496,0.2139586,0.004978638,0.0009736788,0.0002059992,0.0001430861,0.01056384,0.0008622552,0.001187268,0.7315278,0.03385397],"study_design_scores_gemma":[0.001164353,0.0001957636,0.5326427,0.000955586,0.0004489484,0.00040144,0.0003527528,0.01264018,0.001388283,0.001686595,0.4480184,0.0001050644],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01007829,0.000291174,0.0001479433,0.00005564773,0.00003053137,0.00002287602,0.9886113,0.0001925991,0.0005696757],"genre_scores_gemma":[0.01554904,0.0001095423,0.0006250508,0.00002515287,0.00001164981,0.0001044962,0.9829816,0.00002848932,0.0005650381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01695603,"threshold_uncertainty_score":0.04625982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140880504576201,"score_gpt":0.2340959502957619,"score_spread":0.2200078998381418,"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."}}