{"id":"W4316926778","doi":"10.1016/j.actamat.2023.118711","title":"In situ annealing studies on the microstructural evolution of a macro defect free electroformed nanocrystalline Ni-Co sheet metal and its relation to tensile properties","year":2023,"lang":"en","type":"article","venue":"Acta Materialia","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Integran (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council; Canadian Institutes of Health Research; Canada Foundation for Innovation; University of Saskatchewan; Canadian Light Source","keywords":"Materials science; Annealing (glass); Nanocrystalline material; Grain boundary; Metallurgy; Ultimate tensile strength; Electroforming; Tensile testing; Grain growth; Grain boundary strengthening; Grain size; Composite material; Microstructure; Nanotechnology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006510734,0.0001941063,0.0003286527,0.0001191583,0.0001608025,0.00007351389,0.0002260662,0.00008067078,0.00006161235],"category_scores_gemma":[0.0006167687,0.0001115546,0.00004230879,0.0002336659,0.00007815384,0.0002634615,0.0002017109,0.00007878744,0.0000382246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008687492,"about_ca_system_score_gemma":0.0000303803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001221555,"about_ca_topic_score_gemma":0.0001188529,"domain_scores_codex":[0.9985653,0.0001515448,0.0004230625,0.0003102716,0.0002013885,0.0003483953],"domain_scores_gemma":[0.9994386,0.00003798811,0.0001337831,0.0002506766,0.00009978592,0.00003912028],"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":[0.0004350636,0.000006056852,0.00001321108,0.0001099231,0.00001880409,0.000002795419,0.001624094,0.00001542509,0.9953293,0.0006888348,0.001747816,0.000008638462],"study_design_scores_gemma":[0.0003298048,0.0002194058,0.001178313,0.0001127122,0.00002282038,0.00001093991,0.0005026911,0.00004684825,0.9956828,0.001581648,0.0001623707,0.0001496172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968806,0.0002851949,0.000001375212,0.000889416,0.001249833,0.0005384244,0.00007193389,0.00006303787,0.00002019522],"genre_scores_gemma":[0.9991851,0.0000334522,0.00008198545,0.000169134,0.00009857056,0.00004091732,0.00001147893,0.00002004451,0.0003593561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002304472,"threshold_uncertainty_score":0.4549064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545086353095903,"score_gpt":0.2686453814691968,"score_spread":0.2331945179382378,"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."}}