{"id":"W2963199718","doi":"10.1107/s1600576719008744","title":"Diffracting-grain identification from electron backscatter diffraction maps during residual stress measurements: a comparison between the sin<sup>2</sup>ψ and cosα methods","year":2019,"lang":"en","type":"article","venue":"Journal of Applied Crystallography","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Pratt and Whitney Canada","keywords":"Electron backscatter diffraction; Detector; Diffraction; Debye; Materials science; Optics; Tilt (camera); Residual stress; Lattice constant; X-ray crystallography; Physics; Crystallography; Geometry; Condensed matter physics; Mathematics; 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":[0.0009705122,0.0004787963,0.0004223239,0.001127362,0.0002097989,0.0006825179,0.0008017378,0.0004403382,0.00181814],"category_scores_gemma":[0.001501026,0.0003153452,0.000236332,0.001312707,0.0003416219,0.0007971807,0.000384709,0.0003099786,0.0005268666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000253112,"about_ca_system_score_gemma":0.0002028885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001060011,"about_ca_topic_score_gemma":0.003605946,"domain_scores_codex":[0.9991608,0.00007689156,0.00007148515,0.0001422483,0.000481549,0.00006708149],"domain_scores_gemma":[0.9985896,0.000353815,0.0001910399,0.0001696561,0.0006613136,0.00003459221],"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":[0.000726135,0.00004668417,0.01993373,0.0009124596,0.00005969185,0.0003364899,0.000557531,0.001153998,0.8802171,0.0006224514,0.0006009248,0.09483283],"study_design_scores_gemma":[0.00001679051,0.0002519675,0.108773,0.00007822722,0.0001263829,0.001332516,0.0009062577,0.01640384,0.8637192,0.000330931,0.008010379,0.00005052531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886116,0.006499454,0.09857058,0.0001061126,0.0001688438,0.00008134334,0.0008706773,0.0006537901,0.004437673],"genre_scores_gemma":[0.8962103,0.003004184,0.09682517,0.00005848258,0.00004318021,0.00006058142,0.001121261,0.0003474324,0.002329486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00181814,"threshold_uncertainty_score":0.006082296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01439985942947816,"score_gpt":0.25860062994486,"score_spread":0.2442007705153819,"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."}}