{"id":"W2298245441","doi":"10.4236/msce.2016.43001","title":"Study of Frequency Effects on Hardness Profile of Spline Shaft Heat-Treated by Induction","year":2016,"lang":"en","type":"article","venue":"Journal of Materials Science and Chemical Engineering","topic":"Induction Heating and Inverter Technology","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rimouski; Université du Québec à Rimouski","funders":"","keywords":"Induction hardening; Materials science; Finite element method; Induction heating; Hardening (computing); Spline (mechanical); Case hardening; Hardness; Mechanics; Mechanical engineering; Metallurgy; Structural engineering; Composite material; Engineering; Residual stress; Electromagnetic coil","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":[],"consensus_categories":[],"category_scores_codex":[0.0003083048,0.00009229407,0.0002514407,0.0001725643,0.00001697956,0.000008968694,0.0001321885,0.00006437807,0.000009344765],"category_scores_gemma":[0.0001446474,0.00006175355,0.00001563835,0.0002057971,0.00006682663,0.0001803827,0.00001813877,0.00007608337,6.206188e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005457694,"about_ca_system_score_gemma":0.00001354711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000771643,"about_ca_topic_score_gemma":3.301763e-8,"domain_scores_codex":[0.9991823,0.000007336746,0.0003613875,0.00009001627,0.0002230203,0.0001359258],"domain_scores_gemma":[0.999635,0.00002341233,0.00007272742,0.00009387658,0.0001274853,0.00004745743],"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":[0.00000980937,0.00004072422,0.00009466439,0.00008714654,0.00001079683,0.000001545844,0.00006976828,0.00007516264,0.9986147,0.00001729907,0.00005497527,0.0009233517],"study_design_scores_gemma":[0.0004058105,0.0003578429,0.0002471884,0.0002091196,0.0000111157,0.00003183481,0.00002941578,0.0001713003,0.9984495,0.00001418871,0.000006388402,0.00006627831],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999169,0.00003249075,0.0001246085,0.00002791884,0.0005226638,0.00007158305,0.000004379188,0.00003311623,0.00001422223],"genre_scores_gemma":[0.9996235,0.00001145185,0.0002733782,0.000002373959,0.00007275965,0.000003547019,2.253689e-7,0.000009134706,0.00000359943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008570734,"threshold_uncertainty_score":0.2518237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007225693014035914,"score_gpt":0.2103052066585005,"score_spread":0.2030795136444646,"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."}}