{"id":"W4390619554","doi":"10.1016/j.msea.2024.146072","title":"Achieving high strength and high ductility of dual-phase steel via alternating lamellar microstructure","year":2024,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China; National University's Basic Research Foundation of China; China Postdoctoral Science Foundation; University of Texas at El Paso; Agency for Science, Technology and Research","keywords":"Lamellar structure; Materials science; Microstructure; Ultimate tensile strength; Martensite; Dual-phase steel; Ferrite (magnet); Ductility (Earth science); Metallurgy; Work hardening; Composite material; Deformation (meteorology); Creep","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":[0.0001941863,0.0003217867,0.0001539926,0.0003328288,0.0002275717,0.000300774,0.000355788,0.0003319976,0.0007260736],"category_scores_gemma":[0.0002098685,0.0002709817,0.0001442226,0.0002001882,0.0002091823,0.0003886588,0.0004367052,0.0003608234,0.0004667896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002606239,"about_ca_system_score_gemma":0.0001900225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003518761,"about_ca_topic_score_gemma":0.001474516,"domain_scores_codex":[0.9998753,0.00001405607,0.00001154547,0.00002727809,0.00004227665,0.00002943569],"domain_scores_gemma":[0.9997824,0.00001790519,0.00006260685,0.00002555202,0.00007957249,0.00003192995],"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":[0.00002404602,0.00001261403,0.0001021178,0.0000271139,0.000002305655,0.00002386924,0.000012081,0.0002514596,0.9975185,0.0004003924,0.00005168842,0.001573897],"study_design_scores_gemma":[0.00002020119,0.0001647819,0.001099325,0.000004568199,0.000006242939,0.0001029595,0.00001791415,0.006684341,0.9899712,0.0001790146,0.001740808,0.000008669347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721953,0.0003582803,0.02309411,0.00007218384,0.00002774728,0.00001668138,0.00008454669,0.0002375072,0.003913536],"genre_scores_gemma":[0.9862715,0.0001352874,0.01183395,0.00002207168,0.000009751281,0.00001616266,0.00009116405,0.00003679049,0.001583246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007260736,"threshold_uncertainty_score":0.002428949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005105730323505793,"score_gpt":0.2027239808475715,"score_spread":0.1976182505240657,"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."}}