{"id":"W2088331718","doi":"10.1002/srin.201200288","title":"Driving Force and Logic of Development of Advanced High Strength Steels for Automotive Applications","year":2013,"lang":"en","type":"article","venue":"steel research international","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":413,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Twip; Automotive industry; Formability; Materials science; Ferrite (magnet); Metallurgy; High strength steel; Manufacturing engineering; Austenite; Engineering; Composite material; Microstructure","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000222242,0.00007759987,0.000128937,0.0001224813,0.00005211568,0.00001811757,0.0002354379,0.00004763669,0.0001452367],"category_scores_gemma":[0.0001284904,0.00006659707,0.00002668847,0.00007720508,0.00007486339,0.0001379638,0.0001073817,0.0001160565,0.000005846233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006237942,"about_ca_system_score_gemma":0.00004539443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006647352,"about_ca_topic_score_gemma":0.000008251603,"domain_scores_codex":[0.9990935,0.00001281363,0.0002759126,0.0001403451,0.000284239,0.0001932365],"domain_scores_gemma":[0.998973,0.0001968847,0.00004034185,0.0001104377,0.0006176394,0.00006168587],"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":[0.0000311453,0.00006100276,0.00007904361,0.0003622482,0.0001828348,1.883528e-7,0.0006938716,0.001463011,0.7681822,0.04654834,0.0006982042,0.1816979],"study_design_scores_gemma":[0.001066494,0.0001817609,0.004526275,0.0001794204,0.000006701777,0.000001830125,0.001007414,0.008544306,0.94124,0.0272299,0.01579878,0.0002171664],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9321082,0.0003828655,0.05767632,0.0002683405,0.0002418005,0.001959541,0.0001143039,0.0000708906,0.007177774],"genre_scores_gemma":[0.9698533,0.00003843768,0.02866616,0.000007024648,0.00003956767,0.0003128833,0.00002390526,0.0000132293,0.001045529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1814808,"threshold_uncertainty_score":0.271575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784696101877179,"score_gpt":0.3080982312510667,"score_spread":0.2802512702322949,"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."}}