{"id":"W3168723149","doi":"","title":"'Legalizing' the Great Bear Rainforest Agreements: Colonial Adaptations Toward Reconciliation and Conservation","year":2017,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Negotiation; Context (archaeology); Indigenous; Corporate governance; Colonialism; Government (linguistics); Political science; Environmental governance; Indigenous rights; Environmental law; Geography; Business; Human rights; Law; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01541199,0.0002055205,0.0002644654,0.0008745519,0.02033983,0.01166692,0.002039678,0.003779659,0.003000274],"category_scores_gemma":[0.02325558,0.0003028025,0.0002225405,0.001628957,0.05286521,0.004809627,0.01011411,0.007596492,0.0002145587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0365947,"about_ca_system_score_gemma":0.08471552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6266522,"about_ca_topic_score_gemma":0.7574047,"domain_scores_codex":[0.9863985,0.005954567,0.0005060206,0.001018335,0.003145136,0.002977494],"domain_scores_gemma":[0.9887536,0.005651249,0.0009331495,0.001394578,0.002095335,0.001172073],"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":[0.00000337567,0.000008785063,0.001005112,0.00002986854,0.000002526677,0.0002613807,0.08929074,0.0001987871,0.0001942513,0.8841012,0.008936553,0.0159675],"study_design_scores_gemma":[0.00001070099,0.0000159682,0.00461952,0.0004674314,0.00001003904,0.0002966775,0.07463413,0.0005791991,0.0004152773,0.1038635,0.8150312,0.0000563728],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1131924,0.005569587,0.01841501,0.1238764,0.0008058301,0.0002344026,0.00005741446,0.0001368785,0.7377122],"genre_scores_gemma":[0.9237353,0.003072853,0.009866644,0.01443091,0.000179014,0.0001190122,0.000048616,0.00008476394,0.04846299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6266522,"threshold_uncertainty_score":0.751093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563940983918953,"score_gpt":0.3219146884559855,"score_spread":0.286275278616796,"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."}}