{"id":"W2014675297","doi":"10.5558/tfc81222-2","title":"Multi-stakeholder assessment of forest sustainability: Multi-criteria analysis and the case of the Ontario forest assessment system","year":2005,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"Health Canada; Ministry of Natural Resources","keywords":"Analytic hierarchy process; Stakeholder; Sustainability; Environmental resource management; Computer science; Sustainable forest management; Process (computing); Business; Operations research; Environmental science; Engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001294963,0.0002521248,0.0003936298,0.00005692743,0.000423002,0.00006754507,0.0007306761,0.00007300875,0.0004669843],"category_scores_gemma":[0.00003295057,0.000126347,0.0002789702,0.0005762307,0.001387546,0.0002227457,0.0008468261,0.000266892,0.000007984889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165061,"about_ca_system_score_gemma":0.0001340001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1285343,"about_ca_topic_score_gemma":0.5103689,"domain_scores_codex":[0.9979894,0.0003021806,0.0005674681,0.0003456527,0.0003593582,0.0004360108],"domain_scores_gemma":[0.998096,0.0001757243,0.0003808639,0.001233003,0.00003681099,0.00007753792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000039194,0.000258622,0.916662,0.0001233865,0.00032602,0.00001638551,0.001979873,0.07347623,0.00005209704,0.005848782,0.0004023078,0.0008150589],"study_design_scores_gemma":[0.001701543,0.00004468512,0.6915473,0.00001618105,0.0004939851,0.00002526315,0.0007107141,0.3043266,0.00003538086,0.0001137432,0.0008655551,0.0001190459],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947802,0.00006169025,0.001069493,0.001173281,0.00006701529,0.001184987,0.00002219917,0.00002260893,0.001618499],"genre_scores_gemma":[0.9959771,0.000006621484,0.001691887,0.00008754003,0.00004413732,0.00008659159,0.000006581672,0.00001846916,0.002081089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3818346,"threshold_uncertainty_score":0.8772689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351421784083471,"score_gpt":0.2969835333050984,"score_spread":0.2734693154642637,"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."}}