{"id":"W2072645881","doi":"10.1139/x09-176","title":"Optimal spatial patterns of fuel management and timber harvest with fire risk","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service","keywords":"Homogeneous; Environmental resource management; Computer science; Spatial variability; Spatial ecology; Fire protection; Process (computing); Spatial heterogeneity; Range (aeronautics); Forest management; Environmental science; Risk management; Stochastic modelling; Risk analysis (engineering); Operations research; Business; Ecology; Engineering; Civil engineering; Mathematics; Agroforestry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001127083,0.0003162177,0.0004477642,0.0004455698,0.0003704034,0.001207976,0.0007363075,0.0007889948,0.002087826],"category_scores_gemma":[0.005199367,0.0005148157,0.0004429353,0.0005323833,0.001068525,0.001475807,0.0006770177,0.0005492608,0.0001511229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00224019,"about_ca_system_score_gemma":0.0009995488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503339,"about_ca_topic_score_gemma":0.02166937,"domain_scores_codex":[0.9995133,0.0001883806,0.00001835585,0.00008907428,0.00005089695,0.0001400069],"domain_scores_gemma":[0.9987143,0.0006661826,0.000338474,0.00007868507,0.00009719015,0.0001052442],"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":[0.0001013284,0.00004276385,0.007873502,0.00001422219,0.00002888451,0.00006367031,0.00003510272,0.9762844,0.0008424998,0.01164943,0.0001597222,0.002904355],"study_design_scores_gemma":[0.00003252177,0.00005966367,0.011733,0.000006326056,0.00002662462,0.00004859359,0.0001694162,0.9637604,0.000425377,0.02349499,0.000225105,0.0000179648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643275,0.0001383711,0.0314387,0.0004081599,0.000006076982,0.00003106527,0.000159113,0.00003007126,0.003460946],"genre_scores_gemma":[0.9962136,0.00004192873,0.002880052,0.00001098991,0.000001842046,0.000009776789,0.00002518466,0.000004751667,0.0008116876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01503339,"threshold_uncertainty_score":0.02989179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504973761277772,"score_gpt":0.2616638648229985,"score_spread":0.2466141272102207,"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."}}