{"id":"W2913904842","doi":"10.32339/0135-5910-2019-1-48-56","title":"Relating to the rational utilization of manganese-containing raw materials","year":2019,"lang":"en","type":"article","venue":"Ferrous Metallurgy Bulletin of Scientific Technical and Economic Information","topic":"Engineering and Environmental Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"EVRAZ (Canada)","funders":"","keywords":"Manganese; Beneficiation; Raw material; Metallurgy; Nickel; Smelting; Materials science; Flow chart; Chemistry; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002274158,0.0002202384,0.0001343139,0.0007813594,0.0002902054,0.0003497979,0.0002403099,0.0001036688,0.00119689],"category_scores_gemma":[0.0002641938,0.00007056184,0.0001840994,0.000707863,0.0001339465,0.000174842,0.0002356208,0.00008420905,0.000432564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004828513,"about_ca_system_score_gemma":0.0005353622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003137312,"about_ca_topic_score_gemma":0.006323056,"domain_scores_codex":[0.9998496,0.000024138,0.00001329946,0.00003020454,0.00005014696,0.00003252202],"domain_scores_gemma":[0.9998879,0.0000181415,0.00003800488,0.0000166498,0.00003276953,0.000006461868],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006081904,0.0002085549,0.1189805,0.002093508,0.0001393343,0.0005799395,0.0003890341,0.006040582,0.6172748,0.007688374,0.001642985,0.2443542],"study_design_scores_gemma":[0.00001695511,0.001168778,0.408686,0.000268708,0.0001711723,0.001369916,0.0007095992,0.003515457,0.4613347,0.002089915,0.1206394,0.00002949612],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.975234,0.005062251,0.004895354,0.00008788299,0.00001520543,0.0000372755,0.00119547,0.00005749958,0.01341501],"genre_scores_gemma":[0.984591,0.003544708,0.00591193,0.00001329698,0.000005200643,0.00002357804,0.001956649,0.00001547169,0.003938202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003137312,"threshold_uncertainty_score":0.006238103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00917215169840506,"score_gpt":0.1796842025234635,"score_spread":0.1705120508250584,"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."}}