{"id":"W2969864736","doi":"10.1016/j.msea.2019.138324","title":"Effects of solutes and temperature on high-temperature deformation and subsequent recovery in hot-rolled low alloy steels","year":2019,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Materials science; Recrystallization (geology); Alloy; Flow stress; Stress relaxation; Metallurgy; Ternary operation; Dynamic recrystallization; Kinetics; Work hardening; Strain rate; Grain boundary; Thermodynamics; Hot working; Creep; Microstructure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004376621,0.0001510316,0.0002599809,0.0001893885,0.00003817235,0.0001347186,0.00006708351,0.00009066212,0.000008179416],"category_scores_gemma":[0.00004875608,0.000125822,0.000009151003,0.0001566624,0.00003781477,0.0004463575,0.0000388157,0.00006752044,0.000002722219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002916997,"about_ca_system_score_gemma":0.00001185727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001668852,"about_ca_topic_score_gemma":0.000001434102,"domain_scores_codex":[0.9992673,0.00001097445,0.0001905282,0.0001694739,0.0001418161,0.0002199373],"domain_scores_gemma":[0.9997635,0.00003870325,0.00002527386,0.00009532736,0.00002134068,0.00005585332],"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":[0.00003191227,0.000004613792,0.00001491188,0.0009207504,0.000005313154,0.000002384548,0.0002066346,0.007246279,0.9912274,0.0002509685,0.000002814448,0.00008600803],"study_design_scores_gemma":[0.0004783797,0.00008921482,0.01500838,0.000425636,0.000005763903,0.00001063487,0.00001923554,0.001464397,0.9822834,0.0000245201,0.00002269899,0.000167726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998675,0.0001750101,0.000002181227,0.000009033997,0.0008311481,0.0002381517,0.000006031116,0.00005167472,0.00001173802],"genre_scores_gemma":[0.9994312,0.0002729482,0.000202379,0.00001564962,0.00003102709,0.00001447202,0.000003490881,0.00001320381,0.00001563564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01499347,"threshold_uncertainty_score":0.5130874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002370539097718193,"score_gpt":0.1613920073898836,"score_spread":0.1590214682921654,"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."}}