{"id":"W2779371085","doi":"10.5267/j.esm.2017.11.003","title":"Thermal deformation of gas metal arc welding on aluminum alloy T-joints","year":2017,"lang":"en","type":"article","venue":"Engineering Solid Mechanics","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Putra Malaysia","keywords":"Materials science; Alloy; Welding; Metallurgy; Deformation (meteorology); Arc (geometry); Gas metal arc welding; Aluminium; Thermal; Metal; Arc welding; Composite material; Mechanical engineering; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001927112,0.0002049678,0.000250837,0.000113109,0.0001075074,0.00005627942,0.0003617901,0.0001273065,0.00002402503],"category_scores_gemma":[0.00007378771,0.0001943777,0.0001003348,0.00004519544,0.000009705481,0.0001964345,0.00008018301,0.0002202833,0.00001318669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004979185,"about_ca_system_score_gemma":0.000007225011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001341048,"about_ca_topic_score_gemma":0.000001888352,"domain_scores_codex":[0.9991083,0.000004340178,0.0002614786,0.0001302562,0.0002058801,0.0002897869],"domain_scores_gemma":[0.9993195,0.00002168603,0.00008600525,0.000473822,0.00003076294,0.0000682267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008522004,0.00002525115,0.00001341668,0.0002435133,0.0001049708,0.00001161566,0.0001819566,0.8454869,0.1457453,0.005584789,0.000231868,0.00236191],"study_design_scores_gemma":[0.0001464713,0.00006497463,0.0001324305,0.0001870163,0.0000199919,0.000005110983,0.00001335929,0.2848275,0.7131031,0.0001995324,0.001089385,0.0002111829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9620425,0.0001632534,0.0332337,0.0000609228,0.001311846,0.0002491337,0.00001676213,0.0009502466,0.00197168],"genre_scores_gemma":[0.9955538,0.0001321526,0.004062948,0.000005982614,0.0001390506,0.00001616437,0.000005785457,0.00005799295,0.00002614669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5673578,"threshold_uncertainty_score":0.7926491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247966947967162,"score_gpt":0.2288913321085376,"score_spread":0.216411662628866,"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."}}