{"id":"W2020497460","doi":"10.1016/j.matdes.2013.04.047","title":"Ratcheting assessment of steel alloys under step-loading conditions","year":2013,"lang":"en","type":"article","venue":"Materials & Design (1980-2015)","topic":"High Temperature Alloys and Creep","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Hardening (computing); Strain hardening exponent; Amplitude; Stress (linguistics); Structural engineering; Composite material; Strain rate; Mechanics; Engineering; Physics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005637885,0.0003465276,0.0005328313,0.0001311066,0.0001308853,0.0002502997,0.000277132,0.0002124564,0.00211396],"category_scores_gemma":[0.00001719781,0.0003244136,0.00008289201,0.0001690542,0.00005849976,0.0003543154,0.0000595844,0.0001656799,0.0002860104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00010874,"about_ca_system_score_gemma":0.00005964245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001474689,"about_ca_topic_score_gemma":0.000008728666,"domain_scores_codex":[0.9980394,0.0002016081,0.0006539511,0.0002932835,0.0002988987,0.0005128979],"domain_scores_gemma":[0.9990115,0.0001558255,0.0001295157,0.0004233141,0.0001316204,0.000148257],"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":[0.000002932373,0.00003713755,0.0001262686,0.000106419,0.0001221673,0.000005139048,0.0001496629,0.005609884,0.9788974,0.002714508,0.01217737,0.00005111219],"study_design_scores_gemma":[0.001282347,0.0002175663,0.01709259,0.0003396665,0.0001740827,0.00002592951,0.0009200464,0.005723416,0.9686988,0.0006762341,0.003778129,0.001071173],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620675,0.0001913836,0.03303913,0.0002309388,0.001227235,0.0008995085,0.0000863755,0.0004825737,0.001775305],"genre_scores_gemma":[0.986571,0.00003600274,0.01227459,0.0001021709,0.0002287458,0.0002043448,0.00007330742,0.00009838797,0.0004114842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02450341,"threshold_uncertainty_score":0.9999208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494705078092216,"score_gpt":0.2582060514629452,"score_spread":0.2432590006820231,"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."}}