{"id":"W2038306182","doi":"10.1007/s11666-007-9102-z","title":"Numerical Simulation of Droplet Breakup and Collision in the Solution Precursor Plasma Spraying","year":2007,"lang":"en","type":"article","venue":"Journal of Thermal Spray Technology","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Breakup; Collision; Materials science; Mechanics; Jet (fluid); Plasma; Thermal spraying; Ceramic; Particle (ecology); Coating; Computer simulation; Nanotechnology; Composite material; Physics; Nuclear physics; Computer science","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":[0.0003163507,0.0003624866,0.0006667547,0.0004609821,0.0009311488,0.0007836769,0.000984747,0.001623217,0.002946419],"category_scores_gemma":[0.001554951,0.0004882067,0.0005355612,0.0003855406,0.0008094076,0.0006122809,0.0005232512,0.0007786141,0.0001597074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179026,"about_ca_system_score_gemma":0.001225478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02127216,"about_ca_topic_score_gemma":0.006378981,"domain_scores_codex":[0.999848,0.00002325619,0.000006353477,0.00001964076,0.00005190012,0.00005095747],"domain_scores_gemma":[0.9993736,0.0003514407,0.00006864068,0.00002814113,0.0001055446,0.00007262606],"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":[0.0001169123,0.0000885091,0.001795817,0.00004151892,0.00002219018,0.0002257255,0.00007584054,0.9859471,0.005287528,0.00409149,0.0002264342,0.002080745],"study_design_scores_gemma":[0.00001481133,0.00001893065,0.0002564655,0.000001227905,0.000002304763,0.00001065091,0.00001183779,0.998744,0.0007201565,0.0001324618,0.00008343281,0.000003815028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588015,0.0002826587,0.02308696,0.0003589408,0.0001098593,0.00009178081,0.0001731528,0.0001545394,0.01694073],"genre_scores_gemma":[0.9948212,0.0000589163,0.002954256,0.00002866954,0.000007667345,0.00002770238,0.0000520722,0.00001721442,0.002032262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02127216,"threshold_uncertainty_score":0.04229665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0086745086367862,"score_gpt":0.2531705068729369,"score_spread":0.2444959982361506,"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."}}