{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002338929,0.0002364509,0.0005098417,0.001403575,0.00002483529,0.00002466085,0.0001872156,0.0001378714,0.0002712854],"category_scores_gemma":[0.00003191267,0.0002470019,0.0002541937,0.001837343,0.00001215189,0.0001700872,0.00005132079,0.0001999634,0.00007400474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007245695,"about_ca_system_score_gemma":0.00000750117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005726801,"about_ca_topic_score_gemma":0.0002105757,"domain_scores_codex":[0.9987873,0.00001345354,0.000408136,0.0002133997,0.000197064,0.0003806735],"domain_scores_gemma":[0.999526,0.00004813686,0.00003857849,0.0002859647,0.00002559858,0.00007567421],"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":[0.000002803915,0.00001359504,0.001247554,0.0001282279,0.0006848767,0.00005596363,0.0004343268,0.9764045,0.02038089,0.0001807749,0.0001248624,0.0003415462],"study_design_scores_gemma":[0.001083068,0.00004519954,0.07746615,0.0001895794,0.002054702,0.00001127567,0.0007326561,0.654574,0.2532798,0.00008420546,0.009118963,0.001360378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935988,0.00004157162,0.00515705,0.00003879573,0.0002022421,0.0001303607,0.00001502991,0.0006395427,0.000176595],"genre_scores_gemma":[0.997184,0.00001726514,0.002411757,0.000002945631,0.00005468761,0.00005990337,0.00005326169,0.0000453227,0.0001708401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3218305,"threshold_uncertainty_score":0.9999982,"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."}}