{"id":"W2061471156","doi":"10.1115/detc2011-48774","title":"Thermal Modeling for Control of Friction Stir Welding Process in Automated Manufacturing","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Friction stir welding; Welding; Mechanical engineering; Thermocouple; Process (computing); Heat transfer; Thermal; Process control; Materials science; Computer science; Engineering; Mechanics; Composite material","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":[0.0003372631,0.0007825993,0.0006734847,0.0002646016,0.0004399436,0.000803431,0.0006962383,0.0007960666,0.001796103],"category_scores_gemma":[0.0005204377,0.000329851,0.0006675782,0.0003035655,0.0004133888,0.0005044215,0.0004198648,0.0006180675,0.0003231175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007827926,"about_ca_system_score_gemma":0.0006561724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01104998,"about_ca_topic_score_gemma":0.006833731,"domain_scores_codex":[0.9997728,0.00005425322,0.00001262965,0.00005727113,0.00008138271,0.00002157274],"domain_scores_gemma":[0.9998698,0.00006202952,0.00002415129,0.000007533019,0.00003172551,0.000004684898],"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":[0.00002779088,0.00001639761,0.000142652,0.00005850648,0.00001072143,0.00002702606,0.00003211279,0.9847953,0.003368391,0.002049379,0.0001620553,0.009309786],"study_design_scores_gemma":[0.000002528517,0.00001436656,0.00006269775,0.000003550003,0.000002749741,0.000003816036,0.000002531999,0.9988154,0.0004183046,0.0003181784,0.0003535915,0.000002324129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02424436,0.0007855915,0.9655071,0.0001567522,0.00007049647,0.00006550721,0.0000677479,0.0005163653,0.008585944],"genre_scores_gemma":[0.9607323,0.0007080479,0.03150105,0.00005003873,0.00003765806,0.0002341233,0.0001084624,0.00004801061,0.00658018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01104998,"threshold_uncertainty_score":0.02197134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920732843284237,"score_gpt":0.2494632836992809,"score_spread":0.2302559552664385,"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."}}