{"id":"W2050241160","doi":"10.1063/1.3623667","title":"Effect of Strain Rate and Temperature Gradient on Warm Formability of Aluminum Alloy Sheet","year":2011,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Metal Forming Simulation Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Formability; Materials science; Isothermal process; Anisotropy; Deep drawing; Alloy; Strain hardening exponent; Aluminium; Strain rate; Temperature gradient; Hardening (computing); Metallurgy; Composite material; Finite element method; Structural engineering; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000290331,0.0003670188,0.0003241941,0.0003043729,0.0001724066,0.0003983892,0.0002405699,0.0002615038,0.0006118521],"category_scores_gemma":[0.001138006,0.0002654883,0.0002238915,0.0002065768,0.0003068051,0.0002816445,0.0001872437,0.000212357,0.00009706338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001984241,"about_ca_system_score_gemma":0.0001188413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000771201,"about_ca_topic_score_gemma":0.0009807793,"domain_scores_codex":[0.9998705,0.00002118413,0.000009130994,0.00002876928,0.00004373912,0.00002661904],"domain_scores_gemma":[0.9992055,0.0004438914,0.0001735068,0.00008217428,0.00005921654,0.00003567379],"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":[0.00125482,0.0001411819,0.01382414,0.0001811747,0.00003883976,0.000427755,0.0003606609,0.2336915,0.7302369,0.0004986827,0.0001457658,0.0191986],"study_design_scores_gemma":[0.00005195579,0.001681423,0.03978826,0.00002108584,0.00005099264,0.0002584136,0.00009937517,0.3163879,0.6408427,0.0001338556,0.0006257412,0.0000582748],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975199,0.0001001784,0.001759522,0.000007556509,0.00000272204,0.000005973491,0.00002739814,0.00004340404,0.0005332774],"genre_scores_gemma":[0.9991824,0.0000336788,0.0005981569,0.000001921859,8.466228e-7,0.000002150467,0.00001370795,0.00001068436,0.0001563718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000771201,"threshold_uncertainty_score":0.002046824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0167264457582541,"score_gpt":0.2362921472072126,"score_spread":0.2195657014489585,"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."}}