{"id":"W4280571387","doi":"10.1177/14644207221082237","title":"Hot-corrosion behaviour of CNT reinforced Cr <sub>3</sub> C <sub>2</sub> -NiCr coatings working under high-temperature sprayed by HVOF method","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"BGC Engineering (Canada)","funders":"","keywords":"Materials science; Nichrome; Corrosion; Thermal spraying; Coating; Thermogravimetric analysis; Scanning electron microscope; Molten salt; Metallurgy; High-temperature corrosion; Tube furnace; Carbon nanotube; Composite material; Energy-dispersive X-ray spectroscopy; Chemical engineering","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":[0.0001517497,0.0004025407,0.0003010268,0.0002141079,0.0001180566,0.0001747467,0.0003918103,0.0003837258,0.0008225333],"category_scores_gemma":[0.0002822183,0.0002611114,0.0002695699,0.0001396485,0.0001580518,0.0001628471,0.000121234,0.0002639309,0.0002273692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753465,"about_ca_system_score_gemma":0.00008486718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001782862,"about_ca_topic_score_gemma":0.003421245,"domain_scores_codex":[0.9997781,0.00002146528,0.00001565983,0.00004486489,0.000104149,0.00003577985],"domain_scores_gemma":[0.9997047,0.00003784938,0.00008776433,0.00002619346,0.0001192668,0.00002421505],"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":[0.00005415549,0.000005725557,0.0002849925,0.00003290519,0.000005660622,0.0000465277,0.00002240351,0.00008643622,0.9989241,0.000004240152,0.00001420839,0.000518553],"study_design_scores_gemma":[0.000001779454,0.0002228917,0.006396005,0.00000369496,0.00001300214,0.00008195881,0.00002882482,0.000905569,0.9921484,0.00000163564,0.0001916249,0.000004548339],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986718,0.000288735,0.0006473999,0.00001076615,0.0000112734,0.00000612673,0.00006266213,0.00003515061,0.0002661832],"genre_scores_gemma":[0.997113,0.0002700541,0.001433274,0.000007775879,0.000003234101,0.00000637979,0.0001082391,0.00001588535,0.001042096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001782862,"threshold_uncertainty_score":0.003544927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162917018662933,"score_gpt":0.2184141204693901,"score_spread":0.2067849502827607,"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."}}