{"id":"W4396547539","doi":"10.1007/s00267-024-01975-5","title":"Insights from First Nations, Government and Industry Leaders on Criteria for Successful Impact Benefit Agreements","year":2024,"lang":"en","type":"article","venue":"Environmental Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Assembly of First Nations; University of British Columbia, Okanagan Campus; Kwantlen Polytechnic University; University of British Columbia; University of Northern British Columbia; Simon Fraser University","funders":"","keywords":"Timeline; Negotiation; Indigenous; Context (archaeology); Government (linguistics); License; Business; Environmental impact assessment; Natural resource; Social impact assessment; Corporation; Economic impact analysis; Political science; Public relations; Economic growth; Economics; Finance","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009063927,0.0004281131,0.0002316128,0.00006796695,0.0005051627,0.0001993901,0.0002846024,0.0001789929,0.004358214],"category_scores_gemma":[0.000005421262,0.0003859722,0.00014931,0.0001392478,0.0002839275,0.0005462627,0.0005168547,0.0002466139,0.00064412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001914323,"about_ca_system_score_gemma":0.000002394266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002253685,"about_ca_topic_score_gemma":0.0001706259,"domain_scores_codex":[0.9975227,0.00003473274,0.0003353663,0.000810342,0.0008608965,0.0004359654],"domain_scores_gemma":[0.9992186,0.0001303788,0.00007595859,0.0003247585,4.896835e-7,0.0002498333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009245018,0.006643847,0.6814272,0.0008116214,0.004669777,0.0005715022,0.01106271,0.008043084,0.02987138,0.01061648,0.06969333,0.1756646],"study_design_scores_gemma":[0.001646817,0.0006483462,0.9124895,0.0002459354,0.0002483778,0.000002692043,0.004031671,0.001803008,0.001717896,0.003868965,0.07235275,0.0009439858],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9813706,0.0002790729,0.0002271196,0.0005199302,0.0004158512,0.0011241,0.0005951733,0.00006573048,0.01540243],"genre_scores_gemma":[0.9934928,0.0003722471,0.0006333036,0.0004752794,0.0001216941,0.0002739541,0.000177984,0.00006003135,0.004392676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2310624,"threshold_uncertainty_score":0.9998592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0138974191458356,"score_gpt":0.2790328968105005,"score_spread":0.2651354776646649,"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."}}