{"id":"W4321606398","doi":"10.1139/cjfr-2022-0317","title":"Intensive management increases flexibility in managing wood supply","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Forest Resource Improvement Association of Alberta","keywords":"Thinning; Environmental science; Silviculture; Forest management; Forestry; Agroforestry; Offset (computer science); Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0009149689,0.0006404622,0.0004138957,0.0006981798,0.0008458151,0.00248339,0.001544651,0.001417415,0.009110455],"category_scores_gemma":[0.001885049,0.0005596282,0.0005441046,0.0008545944,0.001233795,0.001451123,0.001211691,0.0009332907,0.0003027482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007396514,"about_ca_system_score_gemma":0.004023409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2830884,"about_ca_topic_score_gemma":0.4000788,"domain_scores_codex":[0.9995247,0.00009859511,0.00001339883,0.00007429266,0.00005373509,0.0002353734],"domain_scores_gemma":[0.9992512,0.0002144101,0.0001368161,0.00006320784,0.00007294297,0.0002613898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001334712,0.000116046,0.01095894,0.00004821046,0.00005024467,0.0002108789,0.0001888508,0.9667714,0.001273287,0.01212412,0.0008416979,0.007282848],"study_design_scores_gemma":[0.0001264426,0.0003156266,0.04124113,0.00007828866,0.00009987541,0.0001621107,0.00119932,0.9113104,0.0005953545,0.02731393,0.01746717,0.00009026804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9106951,0.0004822635,0.0209411,0.001029687,0.00004061294,0.0001996202,0.001367341,0.0001450796,0.06509921],"genre_scores_gemma":[0.9932059,0.000129974,0.00216382,0.00005300523,0.00000613676,0.00003616301,0.0001397354,0.00001715039,0.00424802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2830884,"threshold_uncertainty_score":0.5628814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05454174918570664,"score_gpt":0.3318996115367192,"score_spread":0.2773578623510125,"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."}}