{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001193378,0.0001494047,0.0001957096,0.0002311348,0.0001670164,0.0001606328,0.00015623,0.0001900467,0.001445415],"category_scores_gemma":[0.0004063075,0.0001134284,0.0001850522,0.0002227275,0.0002020886,0.000221642,0.0001174028,0.0002002001,0.0001315008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000177254,"about_ca_system_score_gemma":0.00008284862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000577919,"about_ca_topic_score_gemma":0.0008019705,"domain_scores_codex":[0.9999009,0.000008123915,0.000003085094,0.00001535924,0.00005790233,0.00001453551],"domain_scores_gemma":[0.9997739,0.0001036216,0.00003939226,0.00003124868,0.00004319504,0.000008584852],"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":[0.0005820778,0.000111143,0.008626756,0.0001950524,0.0000201044,0.000287486,0.0002671211,0.05381197,0.9042467,0.0005087457,0.000252225,0.03109065],"study_design_scores_gemma":[0.00001991289,0.000631879,0.04948354,0.000008657452,0.00003188532,0.000143072,0.0002036594,0.1737005,0.7741897,0.0002513549,0.001310497,0.00002535338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910448,0.0001154591,0.007653235,0.00001591985,0.000005944095,0.0000072448,0.00005908019,0.0000641685,0.001034227],"genre_scores_gemma":[0.9988482,0.00004086941,0.0006904117,0.000002241284,0.000001274279,0.000002929968,0.00003662374,0.00001224161,0.0003651403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001445415,"threshold_uncertainty_score":0.004835367,"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."}}