{"id":"W3146465799","doi":"10.1107/s1600576721001394","title":"Automated reconstruction of parent austenite phase based on the optimum orientation relationship","year":2021,"lang":"en","type":"article","venue":"Journal of Applied Crystallography","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; University of New Brunswick","funders":"","keywords":"Electron backscatter diffraction; Misorientation; Materials science; Austenite; Microstructure; Orientation (vector space); Phase (matter); Characterization (materials science); Diffraction; Crystallography; Optics; Composite material; Mathematics; Geometry; Chemistry; Physics; Nanotechnology","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":[0.0003964977,0.000553534,0.0005819388,0.001878627,0.0002503022,0.0008790846,0.0005314068,0.0004553387,0.0008373836],"category_scores_gemma":[0.001008936,0.0004104632,0.0003982734,0.0007691009,0.0003123287,0.0006076625,0.0003949601,0.0004536776,0.0006372152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827184,"about_ca_system_score_gemma":0.000895143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002332465,"about_ca_topic_score_gemma":0.005626747,"domain_scores_codex":[0.9997912,0.00002168023,0.00001365694,0.00007108883,0.00007290433,0.00002943173],"domain_scores_gemma":[0.999527,0.00009169269,0.00009784346,0.00009096386,0.0001716885,0.00002085167],"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":[0.0003116265,0.0001262231,0.007680348,0.0002188026,0.00004329137,0.0001570977,0.0003192261,0.03088645,0.7218992,0.002070947,0.0008657325,0.2354211],"study_design_scores_gemma":[0.00002562422,0.0001260084,0.01191061,0.00001387094,0.00004173828,0.0003616834,0.0001531556,0.7420587,0.2411465,0.001644375,0.002476127,0.00004162841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2169942,0.0001841529,0.7797815,0.00004619902,0.00001270305,0.00008997339,0.0002104567,0.001824877,0.0008559561],"genre_scores_gemma":[0.3420542,0.0002268382,0.6557849,0.00001779249,0.000008095555,0.00005379091,0.000780947,0.000266071,0.0008072963],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002332465,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638933651630399,"score_gpt":0.2317861172681043,"score_spread":0.2153967807518004,"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."}}