{"id":"W2801232872","doi":"10.1139/tcsme-2017-0039","title":"Formation mechanism and prediction of plane shape in angular rolling of aluminum alloy thick plate","year":2018,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parallelogram; Finite element method; Plane (geometry); Enhanced Data Rates for GSM Evolution; Angular velocity; Materials science; Aluminium; Process (computing); Point (geometry); Mathematical model; Geometry; Mechanics; Physics; Optics; Structural engineering; Classical mechanics; Mathematics; Engineering; Composite material; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001893401,0.0002752434,0.000267056,0.0003143502,0.0002145825,0.0003807153,0.000392542,0.0004723771,0.0004636434],"category_scores_gemma":[0.0005438926,0.0003112618,0.0003679829,0.0002029912,0.0004628316,0.0003621897,0.0002019919,0.0001981219,0.0001098984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003241755,"about_ca_system_score_gemma":0.0005002782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00597874,"about_ca_topic_score_gemma":0.003046227,"domain_scores_codex":[0.9999125,0.00001415035,0.000004295123,0.00001695228,0.00003751141,0.00001455946],"domain_scores_gemma":[0.9998147,0.00005711905,0.00004970025,0.00002527561,0.00004442111,0.000008789431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003466758,0.000013034,0.002763217,0.0000282404,0.0000054166,0.0001266858,0.00006622892,0.9614149,0.02649085,0.001817663,0.0000740621,0.007165016],"study_design_scores_gemma":[0.000001994947,0.00001656165,0.0008204473,0.000001684928,0.000002615979,0.00002837124,0.00001249086,0.9943911,0.004449376,0.000150752,0.0001199344,0.000004557273],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6741443,0.0002418277,0.3185238,0.00008223208,0.00001774334,0.00005252724,0.0001085925,0.0003157462,0.006513213],"genre_scores_gemma":[0.9896182,0.0001021169,0.009287731,0.000005800227,0.000001767123,0.00001267818,0.00003319981,0.00001545959,0.0009230401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00597874,"threshold_uncertainty_score":0.01188785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0102122985897997,"score_gpt":0.1806103592612232,"score_spread":0.1703980606714235,"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."}}