{"id":"W3166730014","doi":"10.2464/jilm.64.21","title":"Evaluation of local strain and texture by SEM-EBSD technique","year":2014,"lang":"en","type":"article","venue":"Journal of Japan Institute of Light Metals","topic":"GaN-based semiconductor devices and materials","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Oxford Instruments (Canada)","funders":"","keywords":"Materials science; Electron backscatter diffraction; Texture (cosmology); Strain (injury); Metallurgy; Composite material; Artificial intelligence; Microstructure; Computer science; Image (mathematics)","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":[0.00229874,0.0001354535,0.0004903139,0.0001091024,0.00003065358,0.00002287864,0.0001538357,0.00006512782,0.0002226652],"category_scores_gemma":[0.00002992157,0.0001017848,0.0001288822,0.00008043525,0.00009589156,0.0003218955,0.00002252447,0.0001152966,0.00000109746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001833326,"about_ca_system_score_gemma":0.000154313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005209426,"about_ca_topic_score_gemma":0.000003200834,"domain_scores_codex":[0.9985118,0.0001544367,0.000670734,0.0001060122,0.0004430443,0.0001139591],"domain_scores_gemma":[0.9983328,0.00002964814,0.0009327521,0.000147335,0.0004777069,0.00007975053],"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":[0.00001555687,0.0000920567,0.0003167574,0.00005542138,0.0001967275,1.713257e-7,0.000121857,0.00008755279,0.9759141,0.003381858,0.0007644942,0.0190534],"study_design_scores_gemma":[0.001047588,0.0002670036,0.0005216306,0.00021761,0.0005541135,0.00001286468,0.000283972,0.00009814471,0.9729345,0.004795625,0.01912159,0.000145357],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849281,0.0003594829,0.01203341,0.000133064,0.0003455881,0.0002072514,0.00007113194,0.000003115275,0.001918804],"genre_scores_gemma":[0.9987114,0.000007966281,0.0009918874,0.00002087913,0.0002075957,0.000004582692,0.00001048915,0.00000959336,0.00003560638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01890804,"threshold_uncertainty_score":0.4150665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692419631260137,"score_gpt":0.2698610055655172,"score_spread":0.2529368092529158,"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."}}