{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003834499,0.0003267042,0.0002843382,0.001704285,0.00932238,0.003381656,0.0009138959,0.001418381,0.001848706],"category_scores_gemma":[0.005343913,0.0002359616,0.0004633079,0.00327618,0.00330261,0.001413924,0.001732618,0.000748316,0.0001113993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04701037,"about_ca_system_score_gemma":0.02281791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8712947,"about_ca_topic_score_gemma":0.9592363,"domain_scores_codex":[0.9950546,0.001847671,0.0001244403,0.0001534989,0.002048578,0.0007711939],"domain_scores_gemma":[0.9969567,0.001458813,0.0001744561,0.0001098753,0.0009585813,0.0003415144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006324184,0.0004980739,0.1107496,0.001333809,0.0002101721,0.03189117,0.09836768,0.1362275,0.007169873,0.3963673,0.02442447,0.192128],"study_design_scores_gemma":[0.0003033915,0.0004052368,0.1505952,0.001091014,0.0003053521,0.003460179,0.1813199,0.2793764,0.005080863,0.09664822,0.2809907,0.0004234075],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.797112,0.00183331,0.0219481,0.005611946,0.00004363969,0.0007103832,0.0005041406,0.00006230654,0.1721742],"genre_scores_gemma":[0.9668407,0.0007202144,0.0211864,0.0001202591,0.00001190305,0.000148272,0.0001028915,0.00001541553,0.01085409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1287053,"threshold_uncertainty_score":0.3410857,"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."}}