{"id":"W2073451977","doi":"10.1016/j.jmatprotec.2004.09.091","title":"The effect of roll roughness and lubricant viscosity on the loads on the mill during cold rolling of steel strips","year":2004,"lang":"en","type":"article","venue":"Journal of Materials Processing Technology","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Lubricant; STRIPS; Viscosity; Materials science; Surface finish; Rolling mill; Metallurgy; Surface roughness; Mill; Composite material; Emulsion; Lubrication; Mechanical engineering; 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":[0.0002892006,0.0002265257,0.000470461,0.0002838988,0.0007167141,0.000599922,0.0003085786,0.0003932171,0.00274346],"category_scores_gemma":[0.001333274,0.0003044548,0.0002952959,0.0001811816,0.0004376872,0.0005077036,0.0002449784,0.0004157564,0.0002903125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003510232,"about_ca_system_score_gemma":0.0002243077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204952,"about_ca_topic_score_gemma":0.003171749,"domain_scores_codex":[0.9997885,0.0000380284,0.00001065312,0.00002566117,0.00007585545,0.00006149064],"domain_scores_gemma":[0.9987121,0.0008641033,0.0001090987,0.00007075771,0.0001598456,0.00008415099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01059345,0.0002461903,0.009320376,0.0001453784,0.00004247627,0.000770983,0.0007017293,0.005991028,0.953826,0.0001842461,0.0004278058,0.01775024],"study_design_scores_gemma":[0.00009601082,0.002815545,0.1882452,0.00001724967,0.0000996743,0.000308691,0.0008559306,0.03006951,0.7764924,0.0001509841,0.0007870338,0.00006183678],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993131,0.00006663057,0.0002521569,0.00001187203,0.00000514502,0.00000241575,0.00001652025,0.00001584364,0.0003163863],"genre_scores_gemma":[0.9996203,0.00001605914,0.00006041946,0.000003850813,0.00000238237,8.163556e-7,0.0000164953,0.000009451491,0.0002703029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00274346,"threshold_uncertainty_score":0.009177744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005615303250442324,"score_gpt":0.20111552785312,"score_spread":0.1955002246026777,"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."}}