{"id":"W4387773808","doi":"10.1007/978-3-031-38141-6_49","title":"Tensile Deformation Microstructure of 3D-Printed CrMnFeCoNi Alloy","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"High Entropy Alloys Studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Toronto Metropolitan University","funders":"","keywords":"Microstructure; Materials science; Electron backscatter diffraction; Alloy; Metallurgy; Ultimate tensile strength; Ductility (Earth science); Deformation (meteorology); Casting; Selective laser melting; Composite material","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":[0.00005126576,0.0001010851,0.0001585047,0.0002092551,0.0002136962,0.0003905879,0.0003302305,0.0003657722,0.00423497],"category_scores_gemma":[0.0000693909,0.0001725706,0.0001476122,0.0002307189,0.0001771283,0.0001828146,0.0001067861,0.0002293873,0.0009950409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004890999,"about_ca_system_score_gemma":0.0001361159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001547888,"about_ca_topic_score_gemma":0.004336578,"domain_scores_codex":[0.999921,0.000002382966,0.000002686085,0.00001654035,0.00004986045,0.000007582149],"domain_scores_gemma":[0.9999672,0.00000487164,0.000004599778,0.000008641223,0.00001193156,0.000002665366],"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":[0.00007172875,0.00002421616,0.0003880569,0.0001372355,0.000005058821,0.0003747336,0.0001141891,0.009962419,0.9501939,0.004425078,0.002012868,0.03229054],"study_design_scores_gemma":[0.00001359178,0.0001950193,0.02486347,0.00004160322,0.0000171826,0.001089523,0.0001881182,0.04651301,0.8752351,0.002314391,0.04947305,0.00005591918],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7686495,0.004370282,0.03285724,0.0003852803,0.0004105128,0.00005190412,0.001953332,0.001356331,0.1899657],"genre_scores_gemma":[0.8880805,0.0008612813,0.0174531,0.00007324082,0.00003059952,0.00002860722,0.0008842646,0.0001836476,0.09240473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00423497,"threshold_uncertainty_score":0.01416737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01070161591708342,"score_gpt":0.1960897033336448,"score_spread":0.1853880874165614,"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."}}