{"id":"W4294791128","doi":"10.31399/asm.cp.itsc2007p0207","title":"Predicting Splat Morphology in a Thermal Spray Process","year":2007,"lang":"en","type":"article","venue":"Thermal spray","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dimensionless quantity; Materials science; Layer (electronics); Substrate (aquarium); Thermal; Morphology (biology); Thermal spraying; Composite material; Solid surface; Process (computing); Thin layer; Mechanics; Metallurgy; Thermodynamics; Geology; Chemistry; Coating; Computer science","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":[0.0002349343,0.0003540573,0.0002841837,0.0003534628,0.0001545839,0.0004480515,0.0002531165,0.0004883273,0.0006003635],"category_scores_gemma":[0.00092436,0.0002760623,0.0003126292,0.000218453,0.0001665249,0.0003911156,0.0001459978,0.0002018034,0.0001952053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005247689,"about_ca_system_score_gemma":0.0002501376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003848433,"about_ca_topic_score_gemma":0.002556367,"domain_scores_codex":[0.9999216,0.000008960566,0.000004631427,0.00001906371,0.0000354281,0.00001033405],"domain_scores_gemma":[0.9996644,0.0001583362,0.00004619833,0.00002250273,0.00008813824,0.00002034368],"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":[0.0003234617,0.0001357217,0.02780138,0.0001218151,0.00003979491,0.0005128965,0.000150533,0.5264786,0.4149603,0.0004319922,0.0002194538,0.02882413],"study_design_scores_gemma":[0.000007174675,0.0001034783,0.005057681,0.000002631907,0.000005948383,0.0000608831,0.00001469846,0.9574934,0.03706324,0.0000786512,0.0001047836,0.000007421176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9770238,0.000114781,0.02196075,0.00001618561,0.000004991845,0.00003115883,0.00007215176,0.0002039697,0.0005721792],"genre_scores_gemma":[0.9949167,0.00008025108,0.004675811,0.000003262314,0.000001190718,0.000008603254,0.00006344062,0.00001645701,0.0002344056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003848433,"threshold_uncertainty_score":0.007652044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008484214479731146,"score_gpt":0.2452580022704675,"score_spread":0.2367737877907364,"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."}}