{"id":"W2015599337","doi":"10.5558/tfc86742-6","title":"Evaluating local multi-stakeholder platforms in forest management in Ontario","year":2010,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Nonprofit Sector and Volunteering","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Natural Resources and Forestry; Community Based Research Centre","funders":"Ministry of Natural Resources","keywords":"Stakeholder; Stakeholder analysis; Audit; Business; Representation (politics); Environmental resource management; Scale (ratio); Public relations; Environmental planning; Political science; Geography; Accounting; Economics","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":[0.001289577,0.0001080973,0.000111568,0.0000595459,0.0002406142,0.000053992,0.0004006638,0.00009352666,0.0003956491],"category_scores_gemma":[0.00003553546,0.0000829312,0.00003967283,0.000224533,0.0002263281,0.0002251536,0.0001036241,0.000580274,0.00004216387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005730838,"about_ca_system_score_gemma":0.0002427129,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3658869,"about_ca_topic_score_gemma":0.9903864,"domain_scores_codex":[0.9987095,0.00003024568,0.0002193834,0.0002059444,0.0003109425,0.0005239827],"domain_scores_gemma":[0.9995572,0.00006155454,0.00004676102,0.0002571136,0.00001543249,0.00006196392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003724547,0.0001260377,0.9476081,0.00001764802,0.00001275031,0.00002886273,0.02059179,0.007998428,0.0003146067,0.01047835,0.00006777387,0.01271845],"study_design_scores_gemma":[0.001315179,0.00003327361,0.9747673,0.00004087658,0.000006319043,0.000001561166,0.004557214,0.01419499,0.00009355826,0.002178674,0.002644346,0.0001667222],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938127,0.00003684885,0.000146791,0.00010817,0.000333142,0.0004469738,7.535798e-7,0.00003417856,0.005080439],"genre_scores_gemma":[0.9979978,0.000004564194,0.0006396702,0.00005030451,0.00008788452,0.00005220015,0.000002777502,0.00001330931,0.001151519],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6244995,"threshold_uncertainty_score":0.6383357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202057868543587,"score_gpt":0.3604010778510363,"score_spread":0.2401952909966776,"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."}}