{"id":"W4293543532","doi":"10.31399/asm.cp.itsc2005p0239","title":"Cold Spray Nozzle Design and Performance Evaluation using Particle Image Velocimetry (PIV)","year":2005,"lang":"en","type":"article","venue":"Thermal spray","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particle image velocimetry; Gas dynamic cold spray; Nozzle; Critical ionization velocity; Computational fluid dynamics; Materials science; Mechanics; Drag; Entrainment (biomusicology); Particle velocity; Velocimetry; Spray characteristics; Mechanical engineering; Particle (ecology); Acceleration; Spray nozzle; Composite material; Engineering; Physics; Classical mechanics; Acoustics; Turbulence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001723785,0.0005134798,0.0007223292,0.0005586905,0.0005022084,0.00100499,0.0008213984,0.0008531957,0.0006775912],"category_scores_gemma":[0.002548048,0.0003714407,0.0004806923,0.0003511685,0.0004886995,0.0006380901,0.0003586279,0.0003697681,0.0002758437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080984,"about_ca_system_score_gemma":0.0007911616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002538935,"about_ca_topic_score_gemma":0.001695551,"domain_scores_codex":[0.9991128,0.0001236668,0.0000534189,0.000146634,0.0004763948,0.00008697925],"domain_scores_gemma":[0.998785,0.0003652647,0.0001645926,0.0001160351,0.0005147458,0.00005451656],"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":[0.0006307742,0.0002589557,0.008675728,0.0005563474,0.00006695205,0.000318227,0.0002595352,0.1008791,0.8351475,0.00169614,0.0006928162,0.05081793],"study_design_scores_gemma":[0.00008997739,0.001893667,0.008813133,0.00002648675,0.00004890862,0.0001988463,0.00005607502,0.24252,0.7441548,0.0002544323,0.001852317,0.00009145859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8374375,0.001008148,0.156963,0.0001128506,0.0001103626,0.0003418975,0.0003436529,0.0007799334,0.002902669],"genre_scores_gemma":[0.9634189,0.0002635359,0.03527553,0.00001235614,0.000008888638,0.00007174448,0.0001777126,0.00004084043,0.0007304319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002538935,"threshold_uncertainty_score":0.009116352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265518016418808,"score_gpt":0.2612216640930627,"score_spread":0.2346698624511819,"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."}}