{"id":"W2514580927","doi":"10.15282/jmes.10.1.2016.6.0174","title":"Lap joint dissimilar welding of aluminium AA6061 and galvanized iron using TIG welding","year":2016,"lang":"en","type":"article","venue":"JOURNAL OF MECHANICAL ENGINEERING AND SCIENCES","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Universiti Malaysia Pahang","keywords":"Materials science; Galvanization; Metallurgy; Gas tungsten arc welding; Optical microscope; Welding; Ultimate tensile strength; Aluminium; Microstructure; Intermetallic; Composite material; Scanning electron microscope; Layer (electronics); Arc welding; Alloy","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":[0.0002102252,0.0002928818,0.0003870534,0.0003845418,0.0001980446,0.0003396551,0.0005192989,0.0004993751,0.001568137],"category_scores_gemma":[0.0002511789,0.0002344316,0.0004640836,0.0002508479,0.0002575964,0.0002428389,0.0004887625,0.0002600349,0.0005900583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001820183,"about_ca_system_score_gemma":0.0001135789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004113867,"about_ca_topic_score_gemma":0.000994783,"domain_scores_codex":[0.999612,0.00002200612,0.00001377325,0.00008492678,0.0002112122,0.00005606186],"domain_scores_gemma":[0.9998875,0.00001357582,0.00002830904,0.00002450876,0.00002909594,0.00001695954],"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":[0.00008092496,0.0000178021,0.0005159549,0.00008396427,0.0000100457,0.0001624049,0.00007648621,0.0002677964,0.993488,0.0001339641,0.00002488222,0.005137868],"study_design_scores_gemma":[0.00001333023,0.001062164,0.01212136,0.00001097084,0.00004398128,0.0005481747,0.0001436647,0.001970256,0.979424,0.00009708968,0.004553725,0.00001126682],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889481,0.0006541779,0.007252434,0.00001323121,0.00003806223,0.00004041539,0.00002167497,0.00007645569,0.002955267],"genre_scores_gemma":[0.9903224,0.0001441724,0.00577627,0.00001191086,0.0000057511,0.00001105608,0.00004984737,0.00001562771,0.003662966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001568137,"threshold_uncertainty_score":0.005245924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02190724055605357,"score_gpt":0.2454938194329006,"score_spread":0.223586578876847,"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."}}