{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001010883,0.0005043484,0.0002579489,0.002420977,0.002179844,0.001973661,0.00133485,0.001580637,0.003501205],"category_scores_gemma":[0.001294006,0.0001893507,0.0004337063,0.001725655,0.001066833,0.001462797,0.00170312,0.000631961,0.000330403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003439911,"about_ca_system_score_gemma":0.01690242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03906672,"about_ca_topic_score_gemma":0.02315922,"domain_scores_codex":[0.9986689,0.0001298533,0.0001103944,0.0001275756,0.0006212628,0.0003420997],"domain_scores_gemma":[0.9991042,0.00009840515,0.000238753,0.00007543273,0.0003268502,0.0001563186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000386668,0.000750363,0.2482528,0.001763044,0.0002427841,0.006856241,0.007257241,0.01544374,0.02951826,0.1845241,0.04024194,0.4647628],"study_design_scores_gemma":[0.0002415964,0.0008791934,0.3071601,0.001014972,0.000297746,0.002822615,0.01850371,0.03230896,0.04032122,0.06649127,0.5297108,0.0002477816],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8428199,0.01608748,0.006305804,0.03513097,0.0004753275,0.000429345,0.0002667881,0.0002782477,0.09820612],"genre_scores_gemma":[0.9642363,0.006260123,0.002134957,0.002389772,0.0001166863,0.00009203894,0.0002172964,0.00001572677,0.02453712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03906672,"threshold_uncertainty_score":0.07767868,"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."}}