{"id":"W2605637083","doi":"","title":"Evraz and Arkein to build South African pigment plant","year":2013,"lang":"de","type":"article","venue":"Industrial Minerals","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Raw material; Tonne; Rutile; Ilmenite; Titanium; Quarter (Canadian coin); Pigment; Geography; Agricultural economics; Environmental science; Mineralogy; Waste management; Metallurgy; Engineering; Chemistry; Materials science; Archaeology; Economics; Chemical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004620963,0.0002870439,0.0001303555,0.0007440112,0.001743958,0.001167581,0.0002964937,0.0006577699,0.07107507],"category_scores_gemma":[0.0007392901,0.0001886202,0.0002640391,0.000543008,0.0003093029,0.0009589261,0.00123862,0.00105891,0.008914876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009201322,"about_ca_system_score_gemma":0.002283882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006726468,"about_ca_topic_score_gemma":0.02027765,"domain_scores_codex":[0.999815,0.0000210699,0.000006440713,0.00002516857,0.00006075807,0.00007151354],"domain_scores_gemma":[0.9996514,0.00003705425,0.00003146376,0.00002878111,0.0001190239,0.0001322764],"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":[0.000395382,0.0005702081,0.02781422,0.0008424357,0.0000521897,0.004453248,0.003328366,0.001638839,0.02516859,0.1091335,0.2799311,0.5466718],"study_design_scores_gemma":[0.00001942923,0.00008711855,0.01448614,0.0001201923,0.000009235192,0.0006729378,0.001485351,0.0003891673,0.003239761,0.002222528,0.9772527,0.0000154467],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2598262,0.01624845,0.01854232,0.06887685,0.003380238,0.0008077757,0.002645257,0.001189044,0.6284839],"genre_scores_gemma":[0.2595138,0.004731122,0.008916609,0.002198965,0.000116584,0.0000762969,0.0004472445,0.0001010114,0.7238984],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07107507,"threshold_uncertainty_score":0.2377698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09201665673761374,"score_gpt":0.2191065711990646,"score_spread":0.1270899144614508,"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."}}