{"id":"W4378189438","doi":"10.1016/j.mtla.2023.101802","title":"Small-depth nanoindentation studies of an additively manufactured titanium alloy: Anisotropic nanomechanical properties and correlation with microscopic mechanical behaviour","year":2023,"lang":"en","type":"article","venue":"Materialia","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Toronto Metropolitan University; University of Toronto; Canada Foundation for Innovation; National Natural Science Foundation of China","keywords":"Nanoindentation; Materials science; Indentation; Composite material; Alloy; Anisotropy; Dislocation; Titanium alloy; Titanium; Ultimate tensile strength; Uniaxial tension; Shear (geology); Slip (aerodynamics); Tensile testing; Metallurgy; Optics","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":[0.0001404392,0.0001813636,0.0002766812,0.00007435008,0.00006443147,0.00004751717,0.00008807241,0.0001074584,0.00004539719],"category_scores_gemma":[0.0000141661,0.0001408514,0.00002371909,0.0001093222,0.00003496524,0.0001499582,0.00005517153,0.00007053108,0.00003001421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000032366,"about_ca_system_score_gemma":0.00001072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002502814,"about_ca_topic_score_gemma":0.00008788621,"domain_scores_codex":[0.9991161,0.00005440049,0.0002682315,0.000212441,0.0001566126,0.0001922774],"domain_scores_gemma":[0.9996868,0.000005512335,0.00006090069,0.0001365887,0.0000543795,0.00005581442],"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":[0.00008423405,0.00002418977,0.000112845,0.0002479126,0.00008297782,0.00001598125,0.000494457,0.0000411273,0.997295,0.001036315,0.0002457488,0.0003192552],"study_design_scores_gemma":[0.0006889673,0.0004408873,0.004842596,0.0001339276,0.00009186919,0.00001925734,0.0007969104,0.003623122,0.9882522,0.0006616286,0.000202167,0.000246503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959573,0.00005989309,0.0005762171,0.00001520385,0.002752654,0.0002793766,0.00005653758,0.0002910074,0.00001177629],"genre_scores_gemma":[0.997174,0.00006649809,0.00194081,0.00001079617,0.0000582813,0.00004372564,0.0001033546,0.00004315966,0.0005593484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009042791,"threshold_uncertainty_score":0.5743753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05653033082894599,"score_gpt":0.2432655998549677,"score_spread":0.1867352690260217,"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."}}