{"id":"W2033851240","doi":"10.1115/1.4025406","title":"An Integrated Computational Welding Mechanics With Direct-Search Optimization for Mitigation of Distortion in an Aluminum Bar Using Side Heating","year":2013,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Ottawa","funders":"","keywords":"Cwm; Distortion (music); Welding; Bar (unit); Optimization problem; Computer science; Mathematical optimization; Algorithm; Mechanical engineering; Mathematics; Engineering; Physics; Artificial intelligence","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":[0.0004386904,0.0005026711,0.0006387551,0.0002893374,0.0002650134,0.0004529186,0.0008177325,0.0006438988,0.00179551],"category_scores_gemma":[0.000938703,0.0004928843,0.0005849835,0.0002644652,0.0003208218,0.0003049559,0.0006179797,0.0005429283,0.0002818822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003138548,"about_ca_system_score_gemma":0.001044531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002105009,"about_ca_topic_score_gemma":0.003134979,"domain_scores_codex":[0.9998515,0.00003887509,0.000004411765,0.00002110766,0.00007339813,0.00001075121],"domain_scores_gemma":[0.9997147,0.0001664937,0.00002297535,0.0000317766,0.00005427915,0.000009768685],"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":[0.00007068564,0.00005537047,0.0004065393,0.00008574825,0.00002153544,0.00003274115,0.00003634929,0.937437,0.01320946,0.002655247,0.0003684803,0.0456208],"study_design_scores_gemma":[0.000007847012,0.00004182418,0.00007720255,0.000002069646,0.000003143095,0.000007861266,0.00000240243,0.9981174,0.001268688,0.0002037303,0.0002650541,0.000002677974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06108296,0.0001461109,0.9328699,0.0001037912,0.00002657771,0.00006412198,0.00004106868,0.0004895421,0.005176062],"genre_scores_gemma":[0.4206443,0.0001131935,0.5749866,0.00005257536,0.00001355196,0.0002221596,0.00009111261,0.0001667402,0.003709798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002105009,"threshold_uncertainty_score":0.006006539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108737680749577,"score_gpt":0.2387999262851939,"score_spread":0.2277125494776981,"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."}}