{"id":"W4404523016","doi":"10.1007/s00267-024-02084-z","title":"Addressing Cumulative Effects through an Indigenous-led Assessment Process","year":2024,"lang":"en","type":"article","venue":"Environmental Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Indigenous; Cumulative effects; CLARITY; Environmental impact assessment; Government (linguistics); Impact assessment; Environmental planning; Social impact assessment; Environmental resource management; Political science; Geography; Public administration; Environmental science; Ecology","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":[0.02239148,0.001168474,0.0008102356,0.003403957,0.003530766,0.004750071,0.002888927,0.0009911946,0.00572268],"category_scores_gemma":[0.02952072,0.0003685134,0.0009986873,0.002608858,0.001558724,0.003901205,0.006535155,0.002487573,0.0006859949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006064321,"about_ca_system_score_gemma":0.02208593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0631202,"about_ca_topic_score_gemma":0.1988886,"domain_scores_codex":[0.9889926,0.004436956,0.0004048118,0.0009383612,0.004685276,0.000541941],"domain_scores_gemma":[0.9829006,0.004444324,0.0009836599,0.001899842,0.009292632,0.0004789897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003399441,0.001562489,0.03092738,0.001074549,0.000576729,0.000609654,0.02032625,0.102716,0.02288808,0.07917348,0.007101581,0.7327038],"study_design_scores_gemma":[0.0001673138,0.001811954,0.06131034,0.001081884,0.001011477,0.0006126656,0.03078069,0.4016077,0.05364227,0.2961697,0.151196,0.0006080549],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1832786,0.0003704057,0.6389302,0.002105488,0.0002103793,0.00359914,0.0006311017,0.001544804,0.1693299],"genre_scores_gemma":[0.568195,0.0004593905,0.410473,0.0003583217,0.00005248448,0.001154529,0.0003102806,0.0002575202,0.01873954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0631202,"threshold_uncertainty_score":0.1255056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193925921139164,"score_gpt":0.3544856370453372,"score_spread":0.3350930449314208,"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."}}