{"id":"W4289823946","doi":"","title":"Indigenous Consultation and Participation in Resource and Economic Development: Lessons from Canada","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Resource (disambiguation); Business; Economic growth; Geography; Computer science; Economics; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006498451,0.0003911078,0.001117025,0.002060059,0.03649065,0.01114803,0.002683977,0.004029754,0.0149023],"category_scores_gemma":[0.01503272,0.000367988,0.0004897983,0.006635399,0.01613433,0.003587993,0.008413188,0.005263703,0.0003777823],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1693811,"about_ca_system_score_gemma":0.3206871,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961852,"about_ca_topic_score_gemma":0.9981208,"domain_scores_codex":[0.9882888,0.002077029,0.0001494707,0.0005436069,0.002086039,0.006855066],"domain_scores_gemma":[0.9829745,0.007002559,0.0004887826,0.0003450052,0.00394301,0.005246185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000429201,0.0004105611,0.03244052,0.0007395482,0.0001019201,0.002352538,0.5398629,0.001461811,0.0005768848,0.2593056,0.05434229,0.1079762],"study_design_scores_gemma":[0.0001040819,0.00008026478,0.06796098,0.001205169,0.00008545681,0.0002185808,0.6082667,0.0009004523,0.0004210978,0.02226204,0.2983388,0.0001563521],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5202165,0.01247443,0.0008951863,0.1373063,0.0004496732,0.0001936627,0.0004990404,0.00004311133,0.3279221],"genre_scores_gemma":[0.9573449,0.004484035,0.0003941708,0.003807649,0.00004802121,0.00005587668,0.00008044754,0.00002985583,0.03375506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1693811,"threshold_uncertainty_score":0.9634002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091838323236627,"score_gpt":0.2082747677547644,"score_spread":0.1973563845223981,"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."}}