{"id":"W575953524","doi":"10.1016/j.scriptamat.2015.05.026","title":"Quantitative prediction of critical velocity and deposition efficiency in cold-spray: A finite-element study","year":2015,"lang":"en","type":"article","venue":"Scripta Materialia","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Materials science; Gas dynamic cold spray; Deposition (geology); Finite element method; Deformation (meteorology); Strain rate; Particle (ecology); Mechanics; Composite material; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0005323812,0.0004618493,0.0005813783,0.0005126452,0.0004122263,0.0006084003,0.0009255462,0.001200542,0.001445429],"category_scores_gemma":[0.001525404,0.0004709609,0.0005517472,0.0003182215,0.0007564757,0.0006113217,0.0003281723,0.0005847814,0.000235158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006097006,"about_ca_system_score_gemma":0.0008047923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007203753,"about_ca_topic_score_gemma":0.004415296,"domain_scores_codex":[0.9998741,0.00002028305,0.00000672098,0.00002333251,0.00005246882,0.0000231165],"domain_scores_gemma":[0.9991159,0.0005874644,0.00006856097,0.00006121338,0.0001441165,0.00002276231],"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":[0.00009356989,0.000106253,0.002256335,0.0001328988,0.000021339,0.0001271011,0.0001052607,0.9349142,0.05186687,0.004356565,0.0002477707,0.005771952],"study_design_scores_gemma":[0.000003672078,0.00001295,0.0003013132,0.000003899855,0.000001829215,0.000007938772,0.000005326785,0.9959595,0.003529025,0.00009478817,0.00007622875,0.000003553707],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8576092,0.0007337733,0.1304803,0.0001839,0.0000459839,0.0001131934,0.0002472618,0.0003914014,0.010195],"genre_scores_gemma":[0.9865925,0.0001654361,0.01152526,0.00001387648,0.000006483902,0.00003194308,0.00006995734,0.00006475137,0.001529779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007203753,"threshold_uncertainty_score":0.01432365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03967279988207965,"score_gpt":0.288461522965877,"score_spread":0.2487887230837973,"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."}}