{"id":"W2115241616","doi":"10.3968/j.css.1923669720130903.z1013","title":"Problems and Countermeasures of Rare Earth Industry in China","year":2013,"lang":"en","type":"article","venue":"Canadian social science","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rare earth; China; Exportation; Business; Production (economics); International trade; Natural resource economics; Commerce; Industrial organization; Economics; Earth science; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000751493,0.0000296268,0.00004089487,0.0000852369,0.00006747089,0.00004018084,0.00006154978,0.00006613709,0.00009948457],"category_scores_gemma":[0.00001953812,0.00003099981,0.000003946569,0.0002902253,0.0001286965,0.0002698554,0.000002759265,0.0001246449,0.000004916853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004160616,"about_ca_system_score_gemma":0.0001209447,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.006987112,"about_ca_topic_score_gemma":0.03241927,"domain_scores_codex":[0.9996827,0.000003125289,0.00006077997,0.00005470304,0.00007784453,0.0001207985],"domain_scores_gemma":[0.999828,0.000002943618,0.000009249903,0.00002415374,0.00003487059,0.0001007536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002647821,0.0000387045,0.7107185,0.0004658093,0.00001700535,0.00001246589,0.04165626,0.002600302,0.116235,0.01931197,0.02138621,0.08755509],"study_design_scores_gemma":[0.0001459027,0.00001042803,0.9650938,0.00003189244,0.000001205358,0.000003315058,0.001589721,0.003233815,0.002280931,0.0004983431,0.02693899,0.0001716352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8729644,0.00005958708,0.000008155074,0.0001325236,0.00005835175,0.00006587659,0.000003543342,0.00001282505,0.1266948],"genre_scores_gemma":[0.9997234,0.000005727039,0.00001024204,0.00005764761,0.00001362287,0.00000526954,3.208845e-7,0.000002090945,0.0001816951],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2543753,"threshold_uncertainty_score":0.9996254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280970308493974,"score_gpt":0.2241408716425793,"score_spread":0.2113311685576395,"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."}}