{"id":"W4377941995","doi":"10.1007/978-3-030-22767-8_128","title":"Resource Extraction and Indigenous Community Consent","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Indigenous; Extraction (chemistry); Resource (disambiguation); Business; Computer science; Chromatography; Ecology; Biology; Computer network","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":[0.00384438,0.0004314984,0.000444717,0.0006941308,0.004532348,0.005176249,0.001375078,0.003245305,0.03789936],"category_scores_gemma":[0.007221898,0.0003593834,0.0002481759,0.00126641,0.007724303,0.00518814,0.002922452,0.003219796,0.005915439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00290015,"about_ca_system_score_gemma":0.005130167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009828622,"about_ca_topic_score_gemma":0.02324598,"domain_scores_codex":[0.9972869,0.00111369,0.0001257875,0.000336705,0.0008130303,0.0003238851],"domain_scores_gemma":[0.9982486,0.001046336,0.00005738874,0.0003205087,0.0002632049,0.00006400485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002660516,0.000007368948,0.00002891127,0.00001947701,8.739695e-7,0.00003996104,0.001499375,0.00005810882,0.00005620317,0.9747541,0.012316,0.01121702],"study_design_scores_gemma":[0.000005077394,0.00001039718,0.0002636103,0.0001600694,0.000003683066,0.0001728795,0.001796877,0.0003210513,0.0003685564,0.5591661,0.4377182,0.00001348266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001772345,0.0007798893,0.007682744,0.002271243,0.0001613164,0.00008821415,0.00005138385,0.00002462961,0.9871682],"genre_scores_gemma":[0.06656755,0.00101222,0.003023684,0.001147929,0.0001390914,0.0002086009,0.00006793406,0.00006492627,0.927768],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03789936,"threshold_uncertainty_score":0.1267861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04478033424131864,"score_gpt":0.23455179232145,"score_spread":0.1897714580801314,"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."}}