{"id":"W2767437419","doi":"","title":"Rio Tinto cuts TiO2 output by 17% in weak market, continues lithium investment","year":2015,"lang":"en","type":"article","venue":"Industrial Minerals","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Investment (military); Tonne; Production (economics); Slag (welding); Lithium (medication); Natural resource economics; Mineralogy; Agricultural economics; Metallurgy; Environmental science; Geography; Economics; Political science; Geology; Materials science; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002726997,0.0007799601,0.0004625957,0.001645768,0.003158326,0.006944019,0.001616676,0.002758392,0.1053134],"category_scores_gemma":[0.006151957,0.0005117613,0.001041553,0.0007022326,0.001468762,0.002730216,0.001769959,0.003115919,0.04623687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009764082,"about_ca_system_score_gemma":0.01446126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1175419,"about_ca_topic_score_gemma":0.2043955,"domain_scores_codex":[0.9967436,0.000100787,0.0000446114,0.0002296791,0.002430874,0.0004504964],"domain_scores_gemma":[0.9957778,0.0002248647,0.0001479007,0.0004268,0.002273234,0.001149374],"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":[0.0004058684,0.0001969955,0.002730531,0.0002065407,0.00002821299,0.0003966891,0.000249307,0.0003922459,0.008365598,0.01831026,0.8476635,0.1210544],"study_design_scores_gemma":[0.00002224507,0.00006033691,0.00172186,0.00004486228,0.000007180079,0.00006566007,0.0001382736,0.0002057331,0.0008452976,0.0006185205,0.9962573,0.00001283887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01613865,0.003566552,0.003764783,0.06283882,0.007006981,0.0003310252,0.001696256,0.005251356,0.8994055],"genre_scores_gemma":[0.04921305,0.001647424,0.00294251,0.009719553,0.0007412652,0.00006950481,0.001824281,0.001201647,0.9326408],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1175419,"threshold_uncertainty_score":0.3523083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06517143963718182,"score_gpt":0.2697981181424778,"score_spread":0.204626678505296,"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."}}