{"id":"W2470249997","doi":"10.1115/1.4034075","title":"Effects of Silicon Content on the Microstructure and Mechanical Properties of Cobalt-Based Tribaloy Alloys","year":2016,"lang":"en","type":"article","venue":"Journal of Engineering Materials and Technology","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Materials science; Microstructure; Nanoindentation; Volume fraction; Laves phase; Ductility (Earth science); Scanning electron microscope; Intermetallic; Eutectic system; Metallurgy; Silicon; Phase (matter); Cobalt; Composite material; Indentation hardness; Creep; Alloy; Chemistry","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":[0.0002026525,0.0001167873,0.0003599539,0.0001230935,0.00001106436,0.000007009369,0.0001099199,0.000135368,0.000006376762],"category_scores_gemma":[0.0001981315,0.00005657143,0.00003102397,0.00006125353,0.0000475713,0.000028317,0.00002832309,0.00008999432,2.175535e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000973031,"about_ca_system_score_gemma":0.000007375947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.845945e-7,"about_ca_topic_score_gemma":1.085217e-7,"domain_scores_codex":[0.9993981,0.00001482233,0.0003363074,0.00006021179,0.00007987819,0.0001106631],"domain_scores_gemma":[0.9996423,0.00005962493,0.000116944,0.00009348696,0.00005978955,0.00002788675],"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":[0.00003318779,0.0000101712,0.000004624223,0.0003479063,0.00005863677,0.000004383179,0.000008046263,0.0000189528,0.9902849,0.008660569,0.00001268584,0.0005560042],"study_design_scores_gemma":[0.000592477,0.0003129142,0.0001558098,0.0004944239,0.00003066596,0.00004555988,0.000007258832,0.0002507885,0.9974411,0.0004685896,0.0001354506,0.00006501358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974276,0.00097271,0.0006337779,0.0002611124,0.0005598463,0.0001058995,0.000008310684,0.00002952559,0.000001208627],"genre_scores_gemma":[0.9993856,0.0002507607,0.000308601,0.00000892088,0.00002415204,0.000003317904,8.983334e-8,0.00001421446,0.000004343311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008191979,"threshold_uncertainty_score":0.2306916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00901482971956533,"score_gpt":0.1615110439172097,"score_spread":0.1524962141976443,"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."}}