{"id":"W2298629837","doi":"10.1557/jmr.2015.321","title":"Reduced hardening of nanocrystalline nickel under multiaxial indentation loading","year":2015,"lang":"en","type":"article","venue":"Journal of materials research/Pratt's guide to venture capital sources","topic":"Microstructure and mechanical properties","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Integran (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Nanocrystalline material; Indentation; Nickel; Hardening (computing); Metallurgy; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001244078,0.0001862803,0.0002833002,0.0001797428,0.0003371869,0.0003378902,0.0004980134,0.0003726304,0.005096768],"category_scores_gemma":[0.0004404633,0.0002435745,0.0001830989,0.0002575286,0.0003175124,0.0004335042,0.0002698116,0.0004475831,0.0007248993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005879463,"about_ca_system_score_gemma":0.0002669017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003375897,"about_ca_topic_score_gemma":0.008726167,"domain_scores_codex":[0.9997452,0.000006976626,0.00001039322,0.00005517668,0.0001280657,0.00005414891],"domain_scores_gemma":[0.9997752,0.00004571981,0.00004063466,0.00006029446,0.00005273712,0.00002538999],"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":[0.0001542674,0.00002038333,0.000197409,0.00007939345,0.000005218597,0.000101018,0.0001176094,0.0002677638,0.9961752,0.0001405425,0.0002902928,0.00245098],"study_design_scores_gemma":[0.000007211245,0.0000937871,0.007008298,0.000005959478,0.000005336573,0.00005799216,0.00009688648,0.00187265,0.9890301,0.00004433401,0.001768892,0.000008645196],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988229,0.0003739591,0.001064042,0.0000937309,0.00006434054,0.00002483127,0.000313818,0.0001300621,0.009706123],"genre_scores_gemma":[0.9930524,0.00009919618,0.0004925064,0.00002233242,0.000005331862,0.00001229746,0.0001508582,0.00004204988,0.006122903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005096768,"threshold_uncertainty_score":0.01705039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07031605751083944,"score_gpt":0.3589628532254815,"score_spread":0.2886467957146421,"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."}}