{"id":"W2036144325","doi":"10.1016/j.scriptamat.2007.01.031","title":"Digital image correlation studies for microscopic strain distribution and damage in dual phase steels","year":2007,"lang":"en","type":"article","venue":"Scripta Materialia","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":319,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Materials science; Digital image correlation; Tempering; Strain (injury); Martensite; Dual-phase steel; Ultimate tensile strength; Scanning electron microscope; Ductility (Earth science); Composite material; Strain partitioning; Phase (matter); Metallurgy; 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":[0.0001692338,0.0001395251,0.0001855842,0.00003653298,0.00004604955,0.0001327551,0.00004094839,0.00007768062,0.00002067826],"category_scores_gemma":[0.00005223348,0.0001271065,0.00002202728,0.0000488706,0.00005339564,0.0003774512,0.00003262341,0.00005934027,0.000005968456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006430539,"about_ca_system_score_gemma":0.000004818252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003690699,"about_ca_topic_score_gemma":0.00001415635,"domain_scores_codex":[0.9992411,0.000007242913,0.0002828066,0.0001557775,0.00005794781,0.0002551918],"domain_scores_gemma":[0.9997893,0.000004997512,0.00002815584,0.00009558057,0.00003396843,0.00004801084],"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":[0.0001058242,0.00001663867,0.00002487927,0.000195365,0.00001849048,0.00000949954,0.0002561716,0.000001183475,0.9846901,0.0004379142,0.009931884,0.004312006],"study_design_scores_gemma":[0.007359036,0.0005481376,0.004100758,0.0002829148,0.00006334218,0.00003081037,0.00185152,0.001163125,0.8113618,0.003585887,0.1688415,0.0008112056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747013,0.000389293,0.01419759,0.00003061609,0.008566868,0.0004439391,0.001424101,0.0001008637,0.0001453999],"genre_scores_gemma":[0.9972975,0.00002491474,0.0005493398,0.00002318994,0.0001362176,0.00001158952,0.0004043701,0.00002200897,0.001530906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1733283,"threshold_uncertainty_score":0.5183252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895973722307686,"score_gpt":0.2797292253538556,"score_spread":0.2607694881307788,"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."}}