{"id":"W3125233548","doi":"10.1007/s00170-021-06639-w","title":"A novel investigation into edge effect reduction of 4340 steel spur gear during induction hardening process","year":2021,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Induction Heating and Inverter Technology","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Induction hardening; Hardening (computing); Response surface methodology; Taguchi methods; Materials science; Enhanced Data Rates for GSM Evolution; Induction heating; Structural engineering; Mechanical engineering; Composite material; Engineering; Mathematics; Statistics; Electrical engineering","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":[0.0002544868,0.0001703973,0.0002717895,0.0006343199,0.00009823157,0.00002406278,0.0005072757,0.0002086408,0.00001376916],"category_scores_gemma":[0.0002223387,0.0001465249,0.00008795142,0.0002667542,0.0001614198,0.0003742145,0.00008806898,0.0007415697,0.000003180433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002580389,"about_ca_system_score_gemma":0.00005492752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006334828,"about_ca_topic_score_gemma":0.000004522648,"domain_scores_codex":[0.9987068,0.00002712382,0.0005806169,0.0001698394,0.0003318104,0.0001837785],"domain_scores_gemma":[0.9989851,0.0000406823,0.0003757473,0.000232789,0.000334524,0.00003120583],"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":[0.00005797659,0.0000201714,0.00009489525,0.0000716542,0.0001628785,0.00001437983,0.0004781149,0.03670888,0.9333277,0.000171224,0.00002315575,0.02886898],"study_design_scores_gemma":[0.0007144343,0.0001081708,0.0007260357,0.0002534029,0.00002891376,0.002532944,0.001019649,0.0005200201,0.9889088,0.004893814,0.0001721476,0.0001217134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933014,0.000247222,0.002396547,0.001454132,0.002205646,0.00009571283,0.000001846776,0.0002333934,0.00006408639],"genre_scores_gemma":[0.9935117,0.000126252,0.005965774,0.00001336443,0.0002957131,0.000011722,0.000003050709,0.000029361,0.00004309616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05558106,"threshold_uncertainty_score":0.5975114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00802526509667792,"score_gpt":0.2364605487617437,"score_spread":0.2284352836650658,"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."}}