{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006601278,0.0002895802,0.0002817342,0.0001781846,0.00006878194,0.00003352641,0.000312484,0.0002804046,0.0002600626],"category_scores_gemma":[0.00004964027,0.0002738438,0.00005664838,0.0003908515,0.00006632335,0.0002053189,0.00004093358,0.0006960274,0.0001359699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109027,"about_ca_system_score_gemma":0.00002640706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004504649,"about_ca_topic_score_gemma":0.0002232747,"domain_scores_codex":[0.9982737,0.00004552396,0.0004178112,0.0002888701,0.0002424088,0.0007316821],"domain_scores_gemma":[0.9993829,0.0001031947,0.00005563767,0.0002963932,0.00003703297,0.000124822],"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":[0.0000315724,0.00003860024,0.1401037,0.00003496623,0.00001292757,0.0002275887,0.002020958,0.01347612,0.8436303,0.00002551078,0.00001930806,0.0003785321],"study_design_scores_gemma":[0.0009003289,0.00008117027,0.3353239,0.000113427,0.00002676452,0.00007226448,0.0002693543,0.0002871998,0.6620927,0.000006527579,0.000300395,0.0005259177],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942291,0.000121371,0.00008981212,0.00002608919,0.0005594529,0.0002752852,0.000006014973,0.0006120768,0.004080782],"genre_scores_gemma":[0.9989692,0.0000016874,0.0003533206,0.00005588483,0.0003697662,0.00002447981,0.000009135271,0.0001004721,0.0001160697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1952202,"threshold_uncertainty_score":0.9999714,"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."}}