{"id":"W3045793591","doi":"10.1017/9781108684439.011","title":"How Are Land-Use Multi-stakeholder Fora Affected by Their Contexts?","year":2020,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stakeholder; Status quo; Ideal (ethics); Amazon rainforest; Geography; Stakeholder analysis; Environmental planning; Democracy; Political science; Environmental resource management; Public relations; Economics; Ecology; Politics; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.005996597,0.0003378032,0.0004981001,0.00138655,0.005349481,0.01720863,0.00134397,0.002018844,0.006427241],"category_scores_gemma":[0.007418938,0.0004650193,0.0004198229,0.002815199,0.01826436,0.01273848,0.008179627,0.002944705,0.0006798973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005276574,"about_ca_system_score_gemma":0.003611359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005741205,"about_ca_topic_score_gemma":0.01059038,"domain_scores_codex":[0.9920759,0.005247225,0.00009909335,0.0006802041,0.0006784425,0.001219114],"domain_scores_gemma":[0.9955299,0.002821483,0.0005912483,0.0003661492,0.000337016,0.0003541601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001976809,0.00002934155,0.005925809,0.0002481718,0.00003245662,0.0004012372,0.1003469,0.000446327,0.0006775329,0.8494433,0.004342807,0.03808646],"study_design_scores_gemma":[0.00001293144,0.00006246426,0.02445625,0.0007524377,0.00004477866,0.0003919104,0.167928,0.001073056,0.0007524385,0.4718487,0.3326125,0.00006441962],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2008875,0.01554869,0.01617559,0.04622757,0.0002233577,0.0001711867,0.0002109378,0.0001101598,0.7204449],"genre_scores_gemma":[0.9847134,0.003102426,0.001825296,0.001121168,0.00004405733,0.00009107942,0.00004466573,0.00004083132,0.009017126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01720863,"threshold_uncertainty_score":0.03828442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04984700419619172,"score_gpt":0.1738923293155536,"score_spread":0.1240453251193619,"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."}}