{"id":"W2797428966","doi":"10.1139/facets-2017-0107","title":"Evidence-based decision-making in Canada’s protected areas organizations: Implications for management effectiveness","year":2018,"lang":"en","type":"article","venue":"FACETS","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Northern British Columbia; Wilfrid Laurier University","funders":"","keywords":"Business; Convention on Biological Diversity; Diversity (politics); Value (mathematics); Indigenous; Convention; Empirical evidence; Environmental resource management; Knowledge management; Public relations; Environmental planning; Biodiversity; Political science; Geography; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002187556,0.00009298964,0.0000834192,0.00006533039,0.0003063367,0.00002853289,0.0002516612,0.00002502082,0.0003824747],"category_scores_gemma":[0.0001955366,0.00008929768,0.00001803039,0.0006211586,0.00005497377,0.00008904556,0.0001742045,0.0000322983,0.00006048245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100777,"about_ca_system_score_gemma":0.000105703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1067039,"about_ca_topic_score_gemma":0.5401769,"domain_scores_codex":[0.9991553,0.00004980754,0.0001385264,0.0002904633,0.0001763301,0.0001895097],"domain_scores_gemma":[0.9993889,0.0002137133,0.00005620217,0.0002530098,0.00004692944,0.00004121372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003829912,0.00003797129,0.9748096,0.000030223,0.00000970901,0.000001217024,0.00008683362,0.002808102,0.0002167821,0.00002452884,0.00132317,0.02061358],"study_design_scores_gemma":[0.0003118213,0.00002578938,0.9911407,0.0001965293,0.00001468757,2.967097e-7,0.00009281484,0.001663964,0.0001883181,0.0003563505,0.005893661,0.0001151179],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9297256,0.00002756131,0.0657272,0.001549878,0.0001062937,0.002048609,0.00001951255,0.00003695305,0.0007583884],"genre_scores_gemma":[0.9957946,0.000005795946,0.003553157,0.0003973238,0.00001350586,0.000148455,0.000008961235,0.000007320519,0.00007090433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.433473,"threshold_uncertainty_score":0.8992446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02181650446538663,"score_gpt":0.2462892646312156,"score_spread":0.224472760165829,"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."}}