{"id":"W2947166105","doi":"10.1080/02670844.2019.1620438","title":"Investigation of strain-hardening characteristics of cold-sprayed Al–Al <sub>2</sub> O <sub>3</sub> coatings: a combined nanoindentation and expanding cavity models approach","year":2019,"lang":"en","type":"article","venue":"Surface Engineering","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Università degli Studi di Napoli Federico II","keywords":"Materials science; Nanoindentation; Coating; Strain hardening exponent; Indentation hardness; Hardening (computing); Composite material; Deformation (meteorology); Modulus; Elastic modulus; Metallurgy; Microstructure; Layer (electronics)","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":[0.0001289942,0.0001904994,0.0001854044,0.0002311011,0.00009901129,0.0001768768,0.0003365542,0.0003366986,0.0009445053],"category_scores_gemma":[0.0002094058,0.0001511406,0.0002032277,0.0001381193,0.0001640865,0.0002329743,0.00009901072,0.000207025,0.0001361171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001968289,"about_ca_system_score_gemma":0.00009139424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001035199,"about_ca_topic_score_gemma":0.002432566,"domain_scores_codex":[0.99989,0.000004248082,0.000004147681,0.00002287277,0.00006678136,0.0000119351],"domain_scores_gemma":[0.9998183,0.00005291451,0.00004354975,0.0000245811,0.00005182013,0.000008927775],"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":[0.00003625314,0.00001340517,0.001338235,0.00004643932,0.000005457455,0.00005799116,0.00004456478,0.002667297,0.9917568,0.00005061061,0.00002323752,0.003959728],"study_design_scores_gemma":[0.000005399183,0.0001866628,0.02472616,0.000004442415,0.00001305086,0.0001945516,0.0000783053,0.07432713,0.8997721,0.0000560873,0.000622744,0.00001326101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922471,0.0002022248,0.006650104,0.00001882976,0.000004982162,0.00001080743,0.0000912037,0.00005949278,0.0007152887],"genre_scores_gemma":[0.9971903,0.00007194337,0.002345349,0.00000448841,0.000001285678,0.000004116354,0.00004096052,0.000008149512,0.0003334216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001035199,"threshold_uncertainty_score":0.003159642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047272610542386,"score_gpt":0.1988524552350389,"score_spread":0.188379729129615,"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."}}