{"id":"W2003102577","doi":"10.3139/146.101526","title":"In-situ measurement of local strain partitioning in a commercial dual-phase steel","year":2007,"lang":"en","type":"article","venue":"International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde)","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; McMaster University","funders":"","keywords":"Materials science; Digital image correlation; Martensite; Scanning electron microscope; Microstructure; Dual-phase steel; Ultimate tensile strength; Strain (injury); Ferrite (magnet); Strain partitioning; Phase (matter); In situ; Composite material; Optical microscope; Metallurgy","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":[0.008332871,0.0001991934,0.000515757,0.0009976075,0.00003425808,0.0001015851,0.000552572,0.0001521918,0.0004836154],"category_scores_gemma":[0.0002707854,0.0001704818,0.0001206485,0.0002625043,0.0001441292,0.0007004308,0.0001074625,0.000610891,0.00001810063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001866753,"about_ca_system_score_gemma":0.0001699851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001233432,"about_ca_topic_score_gemma":0.0006007286,"domain_scores_codex":[0.9954873,0.0002081455,0.001616484,0.0001638145,0.001961047,0.0005631868],"domain_scores_gemma":[0.9982749,0.0001479181,0.0002146716,0.000149939,0.001043414,0.0001691962],"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":[0.0009950019,0.0002337637,0.00001773844,0.00009129513,0.0001780241,0.0003134698,0.0004659853,0.0007168149,0.9804614,0.002852408,0.0002491595,0.01342497],"study_design_scores_gemma":[0.003692505,0.0005557684,0.002644854,0.0004766472,0.00001428682,0.0001341667,0.0007543678,0.00005346475,0.9825419,0.000702371,0.008232607,0.0001970827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877169,0.0005638953,0.006845688,0.0002787289,0.001521079,0.0002567258,0.0000465643,0.00001186522,0.002758597],"genre_scores_gemma":[0.9986463,0.0001870184,0.0006548626,0.00005456527,0.0003896561,0.000006030963,0.000009130429,0.00003125686,0.00002122341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01322789,"threshold_uncertainty_score":0.6952047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0647877832481937,"score_gpt":0.3566676330148744,"score_spread":0.2918798497666807,"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."}}