{"id":"W2548277342","doi":"10.5849/jof.15-111","title":"Using Risk Analysis to Reveal Opportunities for the Management of Unplanned Ignitions in Wilderness","year":2016,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Parks and Wilderness Society","funders":"","keywords":"Wilderness; Wilderness area; Environmental resource management; Context (archaeology); Geography; Natural resource; Fire regime; Resource (disambiguation); Environmental planning; Environmental science; Ecology; Computer science; Archaeology","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":[0.003208041,0.0005913264,0.000344028,0.002278534,0.0003369041,0.001957582,0.0006158647,0.0005555201,0.001748442],"category_scores_gemma":[0.01024772,0.0002332739,0.0008376812,0.000946076,0.0005388799,0.001782052,0.001186302,0.0007130108,0.0001389727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009964083,"about_ca_system_score_gemma":0.0008562388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006237084,"about_ca_topic_score_gemma":0.01051515,"domain_scores_codex":[0.9985636,0.0006366943,0.0000875254,0.0002286589,0.0003769376,0.0001065352],"domain_scores_gemma":[0.9900959,0.006598322,0.002099697,0.0004992597,0.0005372295,0.0001695996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000417303,0.0004751468,0.5168993,0.0002301067,0.0006013448,0.0008501248,0.002676526,0.3079088,0.005268515,0.02338859,0.001008571,0.1402755],"study_design_scores_gemma":[0.00002194753,0.00044413,0.2092985,0.0001394295,0.000214223,0.0005146668,0.002686539,0.7388138,0.005011773,0.03954494,0.003186894,0.0001232459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7756193,0.0003148267,0.2146828,0.0002498177,0.00001272636,0.0002049863,0.0005360632,0.0002414666,0.008138085],"genre_scores_gemma":[0.9632092,0.0001078934,0.03565592,0.00002118225,0.000006411104,0.00005153199,0.0002407677,0.00001651878,0.0006905617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006237084,"threshold_uncertainty_score":0.01696593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939311396620197,"score_gpt":0.2808634996657938,"score_spread":0.2314703856995918,"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."}}