{"id":"W2288805163","doi":"10.1007/s00170-015-7765-z","title":"Non-linear optimization of a new robotic induction process for local heat treatment using thermal finite element analysis","year":2015,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite element method; Induction heating; Electromagnetic coil; Mechanical engineering; Welding; Computation; Process (computing); Power (physics); Thermal; Engineering; Structural engineering; Computer science; Electrical engineering; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004617856,0.0005570769,0.0008553613,0.0004125334,0.0006444603,0.0009320457,0.0007620851,0.001189428,0.003478882],"category_scores_gemma":[0.0006051479,0.0005903229,0.0007587073,0.0003635688,0.0005943222,0.0006061314,0.0005947208,0.0006588528,0.0004023949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008084283,"about_ca_system_score_gemma":0.001212944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003637131,"about_ca_topic_score_gemma":0.005809071,"domain_scores_codex":[0.9998429,0.00002900056,0.000005238546,0.00002954639,0.00006971105,0.00002363366],"domain_scores_gemma":[0.9997738,0.0001266901,0.00003236245,0.00001718678,0.00003796244,0.00001185759],"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":[0.00004314279,0.00004586709,0.0001351888,0.00004759768,0.000009672157,0.00002287757,0.00001220967,0.9893265,0.004752534,0.0008756536,0.0001079921,0.004620643],"study_design_scores_gemma":[0.000008198882,0.00003510871,0.00007480457,0.000001622873,0.000004536847,0.000003369924,0.000005169033,0.9983152,0.001194537,0.0001354414,0.0002195381,0.000002492587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2472752,0.0004895198,0.7233796,0.0003879828,0.0001121328,0.0002150095,0.0001741537,0.0006131756,0.02735309],"genre_scores_gemma":[0.9190031,0.0001589408,0.07280093,0.00003274138,0.00001512023,0.0002605065,0.00009466934,0.000105309,0.007528672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003637131,"threshold_uncertainty_score":0.01163805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259491448263334,"score_gpt":0.3126604494312722,"score_spread":0.2800655349486389,"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."}}