{"id":"W4416797159","doi":"10.2139/ssrn.5823336","title":"Development of a high-throughput approach to assess oxidation resistance using chemically graded Ni-based superalloys","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"High-Temperature Coating Behaviors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Superalloy; Raman spectroscopy; Characterization (materials science); Degradation (telecommunications); Alloy; Workflow; Principal component analysis","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","research_integrity"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.004019046,0.001407921,0.001784501,0.0008565165,0.0009894993,0.000611057,0.001845291,0.001216139,0.00002077906],"category_scores_gemma":[0.0002520191,0.00160465,0.0004819524,0.001483207,0.0001078189,0.0002889542,0.0004484823,0.009752426,0.000007595434],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01441557,"about_ca_system_score_gemma":0.02541818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001219617,"about_ca_topic_score_gemma":0.0008826401,"domain_scores_codex":[0.9889714,0.0003963036,0.002991589,0.001439161,0.001588055,0.004613528],"domain_scores_gemma":[0.9964293,0.0001371516,0.0009260778,0.001155019,0.0009600119,0.0003924712],"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":[0.0002516813,0.000546836,0.00021253,0.001199399,0.0009767,0.000006083506,0.001803804,0.1271513,0.8531629,0.01416303,0.00004828882,0.0004774458],"study_design_scores_gemma":[0.00462383,0.0002097914,0.001042885,0.0070028,0.001375799,0.0001599825,0.001983981,0.003276683,0.9676015,0.007519356,0.001035184,0.004168153],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6491746,0.0005458429,0.3480608,0.0001003115,0.0009434844,0.0008797361,0.00001812722,0.00012531,0.0001517937],"genre_scores_gemma":[0.7297633,0.0002665921,0.2684427,0.00003191166,0.0003060876,0.00009785574,0.0001555679,0.0001603673,0.0007756514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1238746,"threshold_uncertainty_score":0.9998671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974086605031611,"score_gpt":0.2725705126578663,"score_spread":0.2428296466075502,"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."}}