{"id":"W3044700218","doi":"10.32339/0135-5910-2020-6-602-608","title":"The new ball-rolling mill of EVRAZ NTMK – new possibilities for customers","year":2020,"lang":"en","type":"article","venue":"Ferrous Metallurgy Bulletin of Scientific Technical and Economic Information","topic":"Industrial Engineering and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"EVRAZ (Canada)","funders":"","keywords":"Grinding; Ball mill; Mill; Ball (mathematics); Mechanical engineering; Metallurgy; Production line; Automation; Engineering; Tempering; Process engineering; Manufacturing engineering; Materials science; Mathematics","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":[0.0006315747,0.0006357715,0.0005251436,0.0006340091,0.0005182699,0.001621759,0.001070002,0.001002838,0.0315748],"category_scores_gemma":[0.000311526,0.0003314009,0.000398121,0.0006532104,0.000264948,0.001682456,0.0009855105,0.001134573,0.01226571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005738635,"about_ca_system_score_gemma":0.0006366422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007275926,"about_ca_topic_score_gemma":0.0009541024,"domain_scores_codex":[0.9989599,0.00006974062,0.0000406852,0.0001618592,0.0006523778,0.0001154058],"domain_scores_gemma":[0.9997278,0.00001294646,0.00001575425,0.00004508275,0.0001390122,0.00005943141],"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":[0.001369379,0.0002456419,0.00214762,0.0009277116,0.00002645258,0.001759215,0.0005137465,0.002528334,0.1916258,0.0233659,0.08535405,0.6901362],"study_design_scores_gemma":[0.00006423666,0.0004317664,0.00525349,0.0001292785,0.00001872504,0.002905498,0.0003346504,0.004228038,0.02482079,0.003227633,0.9585267,0.00005910799],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1805423,0.03452482,0.2499178,0.008628098,0.006800227,0.0008168047,0.003289686,0.01558721,0.4998931],"genre_scores_gemma":[0.3184583,0.0101291,0.1263578,0.001022972,0.0008260969,0.0001997349,0.005266983,0.002018003,0.5357209],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0315748,"threshold_uncertainty_score":0.1056282,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01380047731943264,"score_gpt":0.1866732607843685,"score_spread":0.1728727834649358,"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."}}