{"id":"W3093578860","doi":"10.1016/j.msea.2020.140425","title":"In situ neutron diffraction and crystal plasticity analysis on Q&amp;P1180 steel during plastic deformation","year":2020,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Electron backscatter diffraction; Materials science; Martensite; Austenite; Neutron diffraction; Plasticity; Scanning electron microscope; Microstructure; Diffraction; Texture (cosmology); Composite material; Crystallography; Deformation (meteorology); Metallurgy; Crystal structure; Optics; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001940926,0.0002103096,0.000385636,0.0003729846,0.0005834887,0.0002567336,0.0003643099,0.0004527352,0.002155005],"category_scores_gemma":[0.000390404,0.0002482519,0.0001874311,0.0005426598,0.0004688735,0.0003405533,0.0001576356,0.0003487529,0.0002181979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000652148,"about_ca_system_score_gemma":0.0003304364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01110397,"about_ca_topic_score_gemma":0.02057181,"domain_scores_codex":[0.9998399,0.00001344516,0.000007822468,0.00003476574,0.00006978588,0.00003415098],"domain_scores_gemma":[0.9997655,0.00005443857,0.00003759654,0.00002038837,0.00009756645,0.00002459661],"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":[0.0005507271,0.00004485168,0.003185011,0.00005713163,0.00000982965,0.0002266461,0.0001506349,0.001398331,0.9919667,0.0001348258,0.0002674004,0.00200801],"study_design_scores_gemma":[0.00003855949,0.0004075115,0.1285127,0.00001680212,0.00002957254,0.0003951536,0.0004553124,0.01160749,0.855697,0.0001078037,0.002694002,0.00003811542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963142,0.0001540586,0.0006947434,0.00004359112,0.00001303155,0.000006694076,0.0005153968,0.00002364418,0.002234489],"genre_scores_gemma":[0.9974892,0.00007057126,0.0004830034,0.00001512089,0.000003651813,0.000006146357,0.0004234877,0.00001061934,0.001498182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01110397,"threshold_uncertainty_score":0.02207863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008334206073577948,"score_gpt":0.1846574688411206,"score_spread":0.1763232627675426,"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."}}