{"id":"W4311608302","doi":"10.1163/9789004322714_cclc_2019-0026-182","title":"Government of Canada turns back on communities harmed by Canadian mining overseas, loses trust of Canadian civil society","year":2022,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Civil society; Political science; Public administration; Law; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001303852,0.0002214639,0.0003022206,0.0001709643,0.000380622,0.00002437486,0.000142259,0.0001243802,0.003655029],"category_scores_gemma":[0.000004028019,0.0002474427,0.00005709222,0.0002957908,0.00005139827,0.00002442727,0.00005031512,0.0002327629,3.330117e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001439606,"about_ca_system_score_gemma":0.0001863445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977643,"about_ca_topic_score_gemma":0.9998751,"domain_scores_codex":[0.9988967,0.00004132956,0.0002191708,0.0001322117,0.0003274115,0.0003831443],"domain_scores_gemma":[0.999391,0.00004841588,0.00009456313,0.0002329198,0.00001940318,0.0002136889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007232073,0.00001101924,0.00003540727,0.0009252047,0.0001056314,0.000005393109,0.001534339,0.0002089248,0.000001891052,0.00001695165,0.9971005,0.0000475578],"study_design_scores_gemma":[0.0002241909,0.0000838172,0.00006721365,0.0001946492,0.00006942089,0.00000184884,0.01087171,0.000546015,0.00001945289,2.819898e-7,0.9877081,0.0002132929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004629467,0.0006592835,4.740428e-8,0.0001057675,0.0005308558,0.0002779459,0.9657673,0.00001110113,0.02801822],"genre_scores_gemma":[0.09391302,0.02016853,0.00001037164,0.001326507,0.0001940116,0.0002141522,0.8824574,0.00009514493,0.001620906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08928355,"threshold_uncertainty_score":0.9999978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02673440131504038,"score_gpt":0.1878539506066572,"score_spread":0.1611195492916169,"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."}}