{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005869703,0.0003439128,0.0007628163,0.0004796409,0.0001269831,0.0003341145,0.0003292596,0.0006488876,0.001779971],"category_scores_gemma":[0.0004582843,0.0003694849,0.00009386733,0.000481994,0.0001126249,0.0002306291,0.0002495973,0.0004850544,0.00377596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919321,"about_ca_system_score_gemma":0.00003114134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001118822,"about_ca_topic_score_gemma":0.0000127557,"domain_scores_codex":[0.9972761,0.00002665369,0.001265132,0.0007878563,0.00004944145,0.00059485],"domain_scores_gemma":[0.9985799,0.0001021886,0.0005652342,0.0004425056,0.00004591817,0.0002642508],"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":[0.0001573646,0.0003775959,0.09168893,0.00003750838,0.0005062854,0.00001567273,0.0009780587,0.0001203573,0.0009295818,0.412003,0.4582127,0.03497291],"study_design_scores_gemma":[0.002361153,0.0006958083,0.00761429,0.00009926489,0.00003556097,0.000003293694,0.0004430062,0.0009797523,0.0004264165,0.02563962,0.9607047,0.0009970797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9661526,0.001253403,0.0001899974,0.01307046,0.001925976,0.001258784,0.0007810053,0.00007566548,0.01529209],"genre_scores_gemma":[0.9848458,0.0001036976,0.000485955,0.001167945,0.001561378,0.0001731593,0.00006388834,0.00003422943,0.01156392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.502492,"threshold_uncertainty_score":0.9998757,"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."}}