{"id":"W4382988699","doi":"10.1080/17436753.2023.2227446","title":"Localised surface modification of high-strength aluminium–alumina metal matrix composite coatings using cold spraying and friction stir processing","year":2023,"lang":"en","type":"article","venue":"Advances in Applied Ceramics Structural Functional and Bioceramics","topic":"Aluminum Alloys Composites Properties","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Friction stir processing; Materials science; Coating; Gas dynamic cold spray; Ultimate tensile strength; Composite number; Aluminium; Composite material; Ductility (Earth science); Alloy; Metal matrix composite; Metallurgy; Base metal; Particle (ecology); Aluminium alloy; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001296877,0.0003016968,0.0003457495,0.0001833254,0.0002099196,0.00007386617,0.00009705198,0.0001331366,0.000002671555],"category_scores_gemma":[0.00000863719,0.0002938307,0.00003197862,0.000607426,0.0002159873,0.0004184341,0.00008164593,0.0002474125,0.000001263519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001434123,"about_ca_system_score_gemma":0.00002473961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004858522,"about_ca_topic_score_gemma":0.00001184794,"domain_scores_codex":[0.9985384,0.00001959514,0.0004798229,0.0003751572,0.0002791643,0.0003078379],"domain_scores_gemma":[0.9994768,0.0001034336,0.000153613,0.0001219758,0.00008155224,0.00006264916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001161894,0.000009949584,0.004022425,0.0003876947,0.00002914561,0.000001436172,0.0002379652,0.6048275,0.3764521,0.006493067,0.000002512555,0.007420003],"study_design_scores_gemma":[0.00074069,0.00004297429,0.005935867,0.00007388469,0.00005563794,0.00002549087,0.000437873,0.9520283,0.03769366,0.002481425,0.00007055717,0.0004136034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925967,0.001600806,0.004815662,0.00001956233,0.0003071076,0.0002921802,0.00005899648,0.0002152762,0.00009371807],"genre_scores_gemma":[0.9873511,0.0007185879,0.01156512,0.00001288458,0.00007672815,0.00001067464,0.0002017672,0.0000440722,0.00001911561],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3472009,"threshold_uncertainty_score":0.9999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248432678312761,"score_gpt":0.2314287923802952,"score_spread":0.2189444655971676,"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."}}