{"id":"W2048317016","doi":"10.1071/wf13096","title":"Application and validation of visual fuel hazard assessments in dry Mediterranean-climate woodlands","year":2014,"lang":"en","type":"article","venue":"International Journal of Wildland Fire","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"Department of Biodiversity, Conservation and Attractions; Australian Government","keywords":"Woodland; Fire regime; Environmental science; Vegetation (pathology); Flammability; Ecology; Mediterranean climate; Fire ecology; Geography; Environmental resource management; Ecosystem; Biology","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":[0.003120609,0.0005477287,0.0002581683,0.001673654,0.000401114,0.0007124253,0.0007144017,0.0004064909,0.0008269925],"category_scores_gemma":[0.007833354,0.0001997535,0.0004578981,0.000604442,0.0003560511,0.0005343255,0.001015044,0.00022495,0.0002559537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005323089,"about_ca_system_score_gemma":0.0004025568,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219134,"about_ca_topic_score_gemma":0.02283906,"domain_scores_codex":[0.9986125,0.0004398343,0.0001041026,0.0004654041,0.0002784039,0.00009970688],"domain_scores_gemma":[0.9964701,0.001316612,0.0005015985,0.0004419702,0.001112174,0.0001574699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00123704,0.0006869792,0.7489501,0.0003357054,0.0004128534,0.0002499371,0.00243559,0.05741129,0.03492878,0.0007682724,0.0008280698,0.1517553],"study_design_scores_gemma":[0.00007061398,0.0005141688,0.8004621,0.00009998515,0.00007171628,0.0001856793,0.001161135,0.1750116,0.01904464,0.0008725686,0.002459217,0.00004652128],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862786,0.00004568399,0.01079379,0.00001017939,0.00001233295,0.0000878671,0.000598391,0.0001228712,0.002050206],"genre_scores_gemma":[0.9857185,0.00002019362,0.01320003,0.00001405334,0.000002881407,0.00008449705,0.0007368703,0.00002349347,0.0001993956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219134,"threshold_uncertainty_score":0.02424073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00723561517714043,"score_gpt":0.2764597243174187,"score_spread":0.2692241091402783,"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."}}