{"id":"W2138600908","doi":"10.1139/x05-247","title":"Historical disturbance regimes as a reference for forest policy in a multiowner province: a simulation experiment","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pacific Northwest Research Station; Oregon State University","keywords":"Disturbance (geology); Range (aeronautics); Forest management; Expediting; Geography; Resource (disambiguation); Environmental resource management; Scale (ratio); Forest inventory; Environmental science; Forestry; Economics; Engineering; Computer science","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":[0.002536319,0.0005711801,0.0006025296,0.00046809,0.0007424958,0.001052221,0.001700195,0.0009593451,0.002164826],"category_scores_gemma":[0.005704266,0.0004710226,0.0007406966,0.0007159137,0.0007889483,0.0009284928,0.0006727993,0.001591914,0.0001392448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004543839,"about_ca_system_score_gemma":0.00295909,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1298209,"about_ca_topic_score_gemma":0.1539083,"domain_scores_codex":[0.9991429,0.0004650065,0.00003584514,0.000122443,0.0000826602,0.0001511744],"domain_scores_gemma":[0.9939222,0.003945767,0.0006375833,0.0005201942,0.0005317188,0.0004425531],"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":[0.002671816,0.00518443,0.04471644,0.00005476134,0.0001366665,0.0001840612,0.0003122399,0.938137,0.001893107,0.001951328,0.0004433442,0.004314828],"study_design_scores_gemma":[0.001066691,0.002687924,0.01407764,0.00001169145,0.0001126861,0.0000252361,0.0003845933,0.9787202,0.001304136,0.0008759041,0.00068558,0.00004764027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980709,0.000008089041,0.0007360453,0.0000322963,0.000002939505,0.0001053708,0.0002154293,0.00001602669,0.0008128319],"genre_scores_gemma":[0.9968885,0.00002231438,0.002182919,0.00001453078,0.000001771845,0.0001529826,0.0002559119,0.000006292883,0.0004748806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8701791,"threshold_uncertainty_score":0.2581306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04875798535917014,"score_gpt":0.3430397331634514,"score_spread":0.2942817478042813,"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."}}