{"id":"W2056088119","doi":"10.1007/s11666-010-9494-z","title":"Analysis of the Microstructure of Thermal Spray Coatings: A Modeling Approach","year":2010,"lang":"en","type":"article","venue":"Journal of Thermal Spray Technology","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Simulent (Canada)","funders":"","keywords":"Microstructure; Materials science; Coating; Thermal spraying; Porosity; Monte Carlo method; Surface roughness; Thermal; Particle (ecology); Substrate (aquarium); Thermal barrier coating; Composite material; Metallurgy; 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":[0.0001942565,0.0004686968,0.0005667266,0.0003198424,0.0004007251,0.0005863578,0.0007585225,0.001078444,0.001330442],"category_scores_gemma":[0.0005065867,0.0004815473,0.000806087,0.0002523392,0.0003433654,0.000566668,0.0002211042,0.0003518129,0.0001975733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007815608,"about_ca_system_score_gemma":0.001087284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009814399,"about_ca_topic_score_gemma":0.006326406,"domain_scores_codex":[0.9999219,0.00001384406,0.000003097706,0.00001229776,0.00003704392,0.0000117206],"domain_scores_gemma":[0.9998572,0.00005537349,0.00002574669,0.00001910701,0.0000359942,0.000006620999],"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":[0.00001323626,0.00003565612,0.0003709738,0.00004984052,0.000019866,0.00005791513,0.00002043263,0.9703809,0.01901617,0.00500868,0.0001555022,0.004870864],"study_design_scores_gemma":[0.000002828903,0.000007559376,0.0001509636,0.000001357175,0.000003510693,0.00001066925,0.000002340962,0.9984486,0.0008009258,0.0003991431,0.0001702652,0.000001782884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2385584,0.001504912,0.737594,0.0004205925,0.00007247078,0.0001647193,0.0002999056,0.0006551877,0.02072988],"genre_scores_gemma":[0.9436429,0.001144778,0.0503522,0.00005330793,0.00004259371,0.0001370789,0.0001158398,0.00009426084,0.004417009],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009814399,"threshold_uncertainty_score":0.01951456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006115869453173508,"score_gpt":0.2161809765967933,"score_spread":0.2100651071436198,"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."}}