{"id":"W4401353164","doi":"10.1016/j.resourpol.2024.105233","title":"Towards green extraction: Assessing the social and economic progress and challenges of green mining in China for policy formulation","year":2024,"lang":"en","type":"article","venue":"Resources Policy","topic":"Mining and Resource Management","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"China; Extraction (chemistry); Natural resource economics; Business; Economics; Economic system; Political science; Chemistry; Law","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":[0.002926661,0.000574653,0.0004080577,0.002691299,0.001384346,0.002928779,0.0006412856,0.001124753,0.002823609],"category_scores_gemma":[0.003256505,0.0002049778,0.0003834144,0.00433669,0.001104287,0.004715638,0.002204404,0.0009198774,0.0001956738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008742536,"about_ca_system_score_gemma":0.02126802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1125112,"about_ca_topic_score_gemma":0.2124649,"domain_scores_codex":[0.9991472,0.0002438803,0.00005059028,0.00008570782,0.0002249241,0.0002477778],"domain_scores_gemma":[0.9980532,0.0004415353,0.0004223377,0.00007286607,0.0006862174,0.0003238441],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003138045,0.0003741764,0.564779,0.00140768,0.0003809603,0.001010096,0.006372018,0.05601014,0.0035397,0.2204736,0.02063419,0.1247047],"study_design_scores_gemma":[0.00004674672,0.0003552115,0.6818814,0.0007686418,0.0002208665,0.0001066093,0.03100737,0.1256207,0.003880547,0.09969366,0.05626445,0.000153879],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357098,0.002552164,0.005133905,0.03000153,0.0001022203,0.0001511204,0.002146567,0.00005648292,0.02414636],"genre_scores_gemma":[0.9929823,0.001164709,0.001679268,0.0003120851,0.00002695086,0.00005822795,0.0004040934,0.000008040435,0.003364286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1125112,"threshold_uncertainty_score":0.2237126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03238105310753653,"score_gpt":0.3254757079726472,"score_spread":0.2930946548651107,"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."}}