{"id":"W4379621605","doi":"10.1126/sciadv.ade9557","title":"Global impacts of extractive and industrial development projects on Indigenous Peoples’ lifeways, lands, and rights","year":2023,"lang":"en","type":"article","venue":"Science Advances","topic":"Mining and Resource Management","field":"Engineering","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ministerio de Ciencia e Innovación","keywords":"Indigenous; Livelihood; Livestock; Agriculture; Indigenous rights; Environmental protection; Environmental justice; Geography; Natural resource economics; Environmental planning; Political science; Ecology; Law; Economics; Forestry; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002424071,0.00008285561,0.00009681206,0.0001345572,0.0001588308,0.00003386791,0.00009638476,0.00002540675,0.000001303062],"category_scores_gemma":[0.00004564656,0.00006128618,0.000006257231,0.0005821591,0.0001488703,0.0001421887,0.00004916277,0.00004717226,0.000003757829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004144021,"about_ca_system_score_gemma":0.00006757935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000182199,"about_ca_topic_score_gemma":0.00008105289,"domain_scores_codex":[0.9992527,0.000006406991,0.0001001488,0.0001692857,0.0002399388,0.0002315058],"domain_scores_gemma":[0.9997715,0.00004023939,0.0000306463,0.00006946208,0.00001420147,0.00007399687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001574203,0.0001486407,0.2164056,0.0006365968,0.0001256764,0.00009279379,0.1111034,0.0298854,0.005371294,0.0008677276,0.0006998702,0.6345056],"study_design_scores_gemma":[0.002398986,0.0008557434,0.8624084,0.0009078881,0.00003559141,0.00003018375,0.02077098,0.002159245,0.07033475,0.0005624234,0.03848913,0.001046695],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967632,0.0003355593,0.00001589141,0.00001058303,0.0001643809,0.000136718,0.000004226612,0.00007947788,0.002489913],"genre_scores_gemma":[0.999583,0.000083538,0.0002507199,0.000004438939,0.00003117786,0.000006549451,0.00000115435,0.00000307387,0.00003635108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6460028,"threshold_uncertainty_score":0.2499178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01797824739700674,"score_gpt":0.2570315207002759,"score_spread":0.2390532733032692,"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."}}