{"id":"W2736897420","doi":"","title":"Effect of welding speed on lap joint quality of friction stir welded AZ31 magnesium alloy","year":2008,"lang":"en","type":"article","venue":"NPARC","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Materials science; Welding; Friction stir welding; Magnesium alloy; Metallurgy; Ultimate tensile strength; Microstructure; Shear (geology); Composite material; Joint (building); Structural engineering; Engineering","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0003935214,0.0001251691,0.0003187209,0.0001389774,0.00003485198,0.000002567717,0.00009799904,0.00006409412,0.0001104552],"category_scores_gemma":[0.0001322541,0.0001201508,0.0001316075,0.0002639323,0.00003597637,0.00007554847,0.00002316306,0.0001167771,0.000006130525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006381056,"about_ca_system_score_gemma":0.000003858166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003541746,"about_ca_topic_score_gemma":0.000001851275,"domain_scores_codex":[0.9990864,0.00007218603,0.0003367739,0.0001371258,0.0002126733,0.0001547951],"domain_scores_gemma":[0.9994029,0.000140419,0.00008612682,0.0002923916,0.00003791867,0.00004028769],"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":[0.00005380889,0.00002766054,0.002200617,0.0001844746,0.00003294023,0.000003666911,0.00009671414,0.03481868,0.9593098,0.0008119516,0.0001745525,0.002285141],"study_design_scores_gemma":[0.0002997238,0.0002445564,0.004436286,0.00002856095,0.00002930023,0.000002797125,0.000009727311,0.01264921,0.9815747,0.0005553071,0.00004844955,0.0001214277],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.969027,0.00001713749,0.02398856,0.00003314345,0.00007534939,0.0001276888,0.000003654819,0.0003340098,0.006393503],"genre_scores_gemma":[0.9896639,0.00003284375,0.01019216,0.00000587098,0.00003064595,0.000005368372,0.000002170539,0.00002107217,0.00004594623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02226487,"threshold_uncertainty_score":0.4899608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02284078166431489,"score_gpt":0.273839522795973,"score_spread":0.2509987411316581,"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."}}