{"id":"W4377104726","doi":"10.1111/itor.13316","title":"Fifty years of operational research in forestry","year":2023,"lang":"en","type":"article","venue":"International Transactions in Operational Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Investigación y Desarrollo; Vetenskapsrådet","keywords":"Forestry; Forest management; Community forestry; Biodiversity; Environmental resource management; Business; Service (business); Ecoforestry; Geography; Forest ecology; Ecology; Intact forest landscape; Environmental science; Ecosystem; Marketing","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00335633,0.00008007508,0.00009999959,0.001322817,0.0001540661,0.00007750309,0.0005810338,0.00008660051,0.01487624],"category_scores_gemma":[0.0002204646,0.0000897762,0.00004611264,0.002572521,0.0004252084,0.0005055409,0.0001149856,0.0006190539,0.002845405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004658057,"about_ca_system_score_gemma":0.0001387648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003895457,"about_ca_topic_score_gemma":0.002495685,"domain_scores_codex":[0.99659,0.0002733572,0.0003799386,0.0003332437,0.002009708,0.0004137264],"domain_scores_gemma":[0.9989394,0.0006717527,0.00001794259,0.0001889161,0.0001197134,0.00006230473],"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":[0.0003037268,0.001022495,0.1897637,0.00003751831,0.00005840159,0.0001449973,0.002736214,0.6650516,0.003535958,0.07038214,0.03340577,0.03355743],"study_design_scores_gemma":[0.001361476,0.0001247548,0.7015747,0.00009938135,0.000001715119,0.000007713509,0.0004299632,0.1618375,0.0005410778,0.01164244,0.1221339,0.0002452693],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8987563,0.00001392149,0.0001940041,0.00816765,0.0002985731,0.0005320018,0.00007004276,0.00002623876,0.09194127],"genre_scores_gemma":[0.9789395,0.000130603,0.000458871,0.00005101855,0.00008724273,0.0002187308,0.0000937092,0.00001359287,0.02000677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.511811,"threshold_uncertainty_score":0.997931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1366575064446314,"score_gpt":0.450279580614477,"score_spread":0.3136220741698457,"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."}}