{"id":"W2131551494","doi":"10.1139/x10-212","title":"Forest management strategies for dealing with fire-related uncertainty when managing two forest seral stages","year":2011,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Natural Resources Canada; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Natural Resources","keywords":"Seral community; Environmental science; Forest management; Environmental resource management; Sustainable forest management; Forest inventory; Baseline (sea); Computer science; Agroforestry; Ecology; Ecological succession","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001728367,0.000269369,0.0002815851,0.0004996701,0.0006586807,0.0003100045,0.001038496,0.00008091918,0.002347717],"category_scores_gemma":[0.00003921653,0.0002196037,0.0001368759,0.0004348536,0.0007270191,0.0007894813,0.0001364748,0.0005039625,0.0001506246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005185633,"about_ca_system_score_gemma":0.0002986045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1237479,"about_ca_topic_score_gemma":0.6552534,"domain_scores_codex":[0.9970055,0.0001051622,0.0005101776,0.0003435512,0.0007128301,0.001322822],"domain_scores_gemma":[0.9982794,0.0001003869,0.0002132818,0.0004065642,0.0001324235,0.0008679621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002967451,0.00004702914,0.7360727,0.0001296719,0.0002595076,0.0009629285,0.003158242,0.09491321,0.000005626289,0.1383777,0.01772769,0.008049002],"study_design_scores_gemma":[0.005019893,0.003018266,0.561213,0.000718435,0.0002332044,0.0002041005,0.004440945,0.02159859,0.00002259475,0.3094003,0.0928954,0.001235248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8933151,0.0001619265,0.0003596267,0.0007610982,0.0001521489,0.000832741,0.00001586903,0.00001860067,0.1043829],"genre_scores_gemma":[0.9910907,0.00005835729,0.002908554,0.00008821241,0.0001087124,0.00003865753,0.00001407644,0.00005412226,0.005638628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5315055,"threshold_uncertainty_score":0.9985642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05286206333837275,"score_gpt":0.301606968941014,"score_spread":0.2487449056026412,"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."}}