{"id":"W4376879137","doi":"10.1016/j.engfailanal.2023.107336","title":"Failure behavior of a roller in automotive flywheel manufacturing","year":2023,"lang":"en","type":"article","venue":"Engineering Failure Analysis","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"Yangzhou University","keywords":"Materials science; Carburizing; Indentation hardness; Metallurgy; Microstructure; Martensite; Quenching (fluorescence); Austenite; Groove (engineering); Vickers hardness test; Carbide; Composite material; Hardness; Layer (electronics); Surface layer","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":[0.0003258295,0.0003848755,0.000411695,0.0009264206,0.0004980153,0.0003360272,0.0006290699,0.00103792,0.002992088],"category_scores_gemma":[0.001083555,0.0001983247,0.0003193996,0.000307473,0.0003985748,0.0004335305,0.0001629187,0.0002740674,0.0005368768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004017814,"about_ca_system_score_gemma":0.0002151497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005414139,"about_ca_topic_score_gemma":0.004309259,"domain_scores_codex":[0.9998106,0.00002785781,0.000008496014,0.00003745897,0.00007427827,0.00004141458],"domain_scores_gemma":[0.9992865,0.0003531484,0.00008514366,0.00008086149,0.000152959,0.00004141107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003776043,0.0003689477,0.03209221,0.0002180633,0.0001213157,0.002068381,0.0007943328,0.3339595,0.5754386,0.001903823,0.0009299391,0.04832874],"study_design_scores_gemma":[0.00002306471,0.001470692,0.03953324,0.00001498584,0.00004812905,0.0004249001,0.0001926924,0.8026212,0.1546979,0.0002648244,0.000661226,0.00004707736],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962084,0.00006829648,0.00281253,0.00001751578,0.000004267476,0.000006900167,0.00006396671,0.0001785756,0.0006395048],"genre_scores_gemma":[0.9984969,0.0000148351,0.000502217,0.000003347035,9.099595e-7,0.000002546914,0.00003991338,0.00001219106,0.0009270118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005414139,"threshold_uncertainty_score":0.01076525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005051286063347157,"score_gpt":0.1942351377433754,"score_spread":0.1891838516800282,"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."}}