{"id":"W4415927346","doi":"10.15353/hi-am.v1i1.6801","title":"Process parameter optimization and characterization of cold spray pure and blended AA6061 powder depositions","year":2025,"lang":"","type":"article","venue":"Proceedings of the Holistic Innovation in Additive Manufacturing (HI-AM) Conference","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Gas dynamic cold spray; Deposition (geology); Indentation hardness; Powder metallurgy; Aluminium; Alloy; Characterization (materials science); Ceramic","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004286117,0.0004370417,0.0006979247,0.0007018276,0.0003775447,0.0006394318,0.0004252819,0.0004613228,0.001283739],"category_scores_gemma":[0.0006633656,0.0002507109,0.0005909472,0.0008075275,0.0002075587,0.0003626934,0.0002477891,0.0003874156,0.0004692781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003687515,"about_ca_system_score_gemma":0.0002456768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067993,"about_ca_topic_score_gemma":0.001730142,"domain_scores_codex":[0.99954,0.00002230819,0.00003822756,0.0001153022,0.0002433095,0.00004082394],"domain_scores_gemma":[0.9996725,0.00007956792,0.00006596016,0.0000506221,0.0001137263,0.00001774371],"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":[0.0001503612,0.00005453414,0.0006868329,0.0001843688,0.00001618427,0.00009843143,0.00006487216,0.002032769,0.9883423,0.00005827211,0.00009114982,0.008219875],"study_design_scores_gemma":[0.00001062766,0.0003401595,0.004126054,0.000007530344,0.00002868867,0.0000748013,0.00004075927,0.004643733,0.9890427,0.00003596184,0.001637075,0.00001201597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837457,0.001791822,0.01026367,0.00004722404,0.00003444628,0.0001108479,0.001050127,0.0002474634,0.002708793],"genre_scores_gemma":[0.9863244,0.001102932,0.01000702,0.00001829293,0.000009823379,0.00007423994,0.0006896234,0.0001210902,0.001652548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001283739,"threshold_uncertainty_score":0.004294515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677415935339495,"score_gpt":0.2526747239827089,"score_spread":0.235900564629314,"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."}}