{"id":"W1980608256","doi":"10.1115/1.4002158","title":"Computational Evaluation of Adhesion and Mechanical Properties of Nanolayered Erosion-Resistant Coatings for Gas Turbines","year":2010,"lang":"en","type":"article","venue":"Journal of Engineering for Gas Turbines and Power","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Research Council Canada","keywords":"Materials science; Fracture toughness; Tin; Composite material; Brittleness; Toughness; Modulus; Nitride; Elastic modulus; Metallurgy; Layer (electronics)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007583,0.0001421773,0.0003224063,0.000114058,0.00003197991,0.00001796199,0.00007286066,0.00009324251,0.000008223107],"category_scores_gemma":[0.0003603642,0.0001059436,0.0001045966,0.00006211572,0.00001682328,0.0001253801,0.00001826273,0.0001256439,6.27117e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001025816,"about_ca_system_score_gemma":0.00002617366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000021915,"about_ca_topic_score_gemma":0.000001753448,"domain_scores_codex":[0.9990018,0.000008922761,0.0005071666,0.00008579475,0.0002730587,0.0001232605],"domain_scores_gemma":[0.9990281,0.0000901302,0.0001764574,0.00006861317,0.000569005,0.00006766483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001338114,0.00002587157,0.00001509148,0.0005127433,0.0000526681,2.431955e-7,0.0001615877,0.01308112,0.9833453,0.001997136,0.0001306257,0.0005437525],"study_design_scores_gemma":[0.001654563,0.0005514039,0.0003357389,0.0004252477,0.0001683059,0.0000473587,0.0000526475,0.6165196,0.3762499,0.003012462,0.0007999992,0.0001827964],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904597,0.001186285,0.006847184,0.0000559445,0.001147816,0.0002602887,0.00002318714,0.00001433739,0.000005302187],"genre_scores_gemma":[0.9834105,0.00005133835,0.01639083,0.000005320953,0.00009256756,0.00001014251,0.000003912521,0.00002488124,0.00001055405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6070954,"threshold_uncertainty_score":0.4320253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054297797298454,"score_gpt":0.230316314495988,"score_spread":0.2097733365230034,"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."}}