{"id":"W4286462346","doi":"10.1017/s1431927622001994","title":"Large Volume 3D Electron Backscatter Diffraction Characterization of Lath Martensite in 13%Cr-4%Ni Stainless Steel by Xe Plasma FIB","year":2022,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Microstructure and Mechanical Properties of Steels","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Hydro-Québec; McMaster University","funders":"","keywords":"Lath; Martensite; Electron backscatter diffraction; Library science; Materials science; Art history; Art; Computer science; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000212369,0.0002421926,0.0004506001,0.000226658,0.0001515903,0.00004587723,0.0001510823,0.0001072274,0.0004368772],"category_scores_gemma":[0.000004747771,0.0002510745,0.00009461386,0.000387832,0.00003096304,0.0002029766,0.0001099411,0.0003462088,0.00001053747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001376661,"about_ca_system_score_gemma":0.00001530813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000094747,"about_ca_topic_score_gemma":0.00009649549,"domain_scores_codex":[0.9985648,0.00007517957,0.0004485216,0.0003443655,0.0001478642,0.0004192802],"domain_scores_gemma":[0.9995201,0.00001403338,0.0001154953,0.0002452444,0.00004241477,0.00006269018],"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":[0.00009339156,0.00006400047,0.001681917,0.00009543414,0.0001138392,0.000003248975,0.0005311457,0.0002025678,0.9943193,0.000003582156,0.001731548,0.00116005],"study_design_scores_gemma":[0.001348068,0.0001592248,0.006918832,0.00003558434,0.0002441091,0.00002100252,0.0003973393,0.009742501,0.9167014,0.00001923969,0.06386349,0.0005492158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967455,0.0007917985,0.001479055,0.00008678068,0.000142478,0.0002022817,0.0004459859,0.00004749457,0.00005859827],"genre_scores_gemma":[0.9962789,0.0003478041,0.0001250398,0.0002342521,0.00002846265,0.00002476423,0.0006396617,0.00004338767,0.002277739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07761788,"threshold_uncertainty_score":0.9999942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003300921790492173,"score_gpt":0.1887178008252412,"score_spread":0.185416879034749,"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."}}