{"id":"W4417245840","doi":"","title":"Temperature history modeling and validation of fast induction hardening process","year":2016,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Induction Heating and Inverter Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Process (computing); Hardening (computing); Induction hardening; Process control; Induction heating; Welding","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":[0.0006917699,0.00009478937,0.0001125125,0.0001258651,0.00007835186,0.0000175495,0.0001331238,0.0001215343,0.00003422816],"category_scores_gemma":[0.0002198102,0.00008201177,0.00002520852,0.0001195993,0.00008018415,0.0002030877,0.00003075582,0.0001334139,0.000003664981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008949263,"about_ca_system_score_gemma":0.00002814116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004361573,"about_ca_topic_score_gemma":0.00001865663,"domain_scores_codex":[0.9991429,0.000257773,0.0002022095,0.0001733622,0.0001068044,0.0001169628],"domain_scores_gemma":[0.9990093,0.00008091089,0.00006217047,0.0003107687,0.0005016421,0.00003518617],"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":[0.000006150481,0.00007453358,0.001304466,0.0001899931,0.00004130827,4.976661e-7,0.01226288,0.001424514,0.8740811,0.01110876,0.0006533831,0.09885246],"study_design_scores_gemma":[0.0003427258,5.413073e-7,0.0001702706,0.000749343,0.00001312357,0.0000180538,0.0003154549,0.09517445,0.9009886,0.0008615102,0.001173017,0.0001929483],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9312619,0.0003258701,0.06262092,0.0008734183,0.0001512224,0.00007355563,0.000003071684,0.0002918561,0.004398185],"genre_scores_gemma":[0.9958416,0.0001165914,0.003224799,0.000007574262,0.00001308899,0.00001240199,0.00001068903,0.0000176829,0.0007555718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09865952,"threshold_uncertainty_score":0.3344343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01214219367428629,"score_gpt":0.1943881359541368,"score_spread":0.1822459422798505,"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."}}