{"id":"W4404087777","doi":"10.1016/j.msea.2024.147494","title":"Relative hardening contributions and ductility of as-prepared and annealed nanocrystalline Co-P electrodeposits","year":2024,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Electrodeposition and Electroless Coatings","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Integran (Canada); University of Toronto","funders":"Government of Saskatchewan; 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":"Nanocrystalline material; Materials science; Hardening (computing); Metallurgy; Ductility (Earth science); Composite material; Nanotechnology; Creep","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":[0.0001632413,0.0002251279,0.0001823543,0.0002683756,0.0002269672,0.0002904493,0.0003257761,0.0003050769,0.003810539],"category_scores_gemma":[0.0007343125,0.0002087652,0.0001022757,0.0002792501,0.0002920445,0.0003406355,0.0001750437,0.0004432789,0.0003851228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003091192,"about_ca_system_score_gemma":0.0001873248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207594,"about_ca_topic_score_gemma":0.003670372,"domain_scores_codex":[0.9997943,0.00001134913,0.00001309522,0.00006797579,0.00006762107,0.00004567144],"domain_scores_gemma":[0.9997414,0.0001013699,0.00003691142,0.00002799957,0.0000737658,0.00001853711],"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":[0.0002586231,0.0000114297,0.0005952044,0.00008364895,0.000008074427,0.0001097229,0.00009256163,0.0004198893,0.9956246,0.0001287332,0.0001058279,0.002561714],"study_design_scores_gemma":[0.000001756016,0.00004412075,0.003219022,0.00000322631,0.000005619905,0.00002832096,0.00004092455,0.001098825,0.9952406,0.00001528771,0.0002988631,0.000003475039],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971917,0.0003629655,0.0006283222,0.00002051179,0.00001253167,0.000004872502,0.0002118963,0.00003395826,0.001533297],"genre_scores_gemma":[0.9982005,0.0001256496,0.0002368322,0.0000052819,0.000002447197,0.000006731882,0.0001624624,0.00002029766,0.001239701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003810539,"threshold_uncertainty_score":0.01274747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002999717131619089,"score_gpt":0.2183293751223607,"score_spread":0.2153296579907416,"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."}}