{"id":"W2196400453","doi":"10.1016/j.omega.2015.10.011","title":"A framework for sustainable forest resource allocation: A Canadian case study","year":2015,"lang":"en","type":"article","venue":"Omega","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Analytic hierarchy process; Sustainability; Environmental economics; Resource allocation; Stewardship (theology); Business; Environmental resource management; Operations research; Economics; Engineering; Management; Political science","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":[],"consensus_categories":[],"category_scores_codex":[0.0003395548,0.00008651899,0.00007258306,0.00006505176,0.0001987463,0.00007596985,0.0001782829,0.00004174017,0.000303459],"category_scores_gemma":[0.0001414076,0.00008300625,0.00002355214,0.0003068258,0.00004751767,0.0001579186,0.00009665098,0.00005994504,0.0005337336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003198535,"about_ca_system_score_gemma":0.00005170226,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4248972,"about_ca_topic_score_gemma":0.3957041,"domain_scores_codex":[0.9991689,0.00002329838,0.00009500295,0.0001864435,0.000138225,0.0003881193],"domain_scores_gemma":[0.9993246,0.00003399914,0.00002774913,0.0002835212,0.00001307528,0.0003171215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004013631,0.0001959994,0.2269978,0.00002061226,0.00002819055,0.002653086,0.01055774,0.003638786,2.744722e-7,0.05586932,0.6976531,0.002344979],"study_design_scores_gemma":[0.0004210992,0.0002341895,0.002266754,0.000002471224,0.00001741455,0.00004784215,0.008629128,0.000908954,5.868788e-7,0.006169384,0.9811596,0.0001426087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8579487,0.00001627402,0.0002912898,0.001734395,0.00005401419,0.001160598,0.000002575685,0.00004063476,0.1387515],"genre_scores_gemma":[0.9472875,2.140618e-7,0.000905181,0.0005480025,0.00009892639,0.0001399891,0.000005863293,0.00001370799,0.05100059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2835065,"threshold_uncertainty_score":0.6860244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02590761435455614,"score_gpt":0.2764813488913137,"score_spread":0.2505737345367576,"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."}}