{"id":"W2145498379","doi":"10.1179/1362171811y.0000000070","title":"Metallurgical analysis of magnetic pulse welds of AZ31 magnesium alloy","year":2011,"lang":"en","type":"article","venue":"Science and Technology of Welding & Joining","topic":"Magnesium Alloys: Properties and Applications","field":"Materials Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Welding; Magnesium alloy; Composite material; Transmission electron microscopy; Metallurgy; Deformation (meteorology); Fracture (geology); Alloy; Heat-affected zone","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00008826057,0.000127789,0.0001206954,0.0003474036,0.0001758144,0.0001499097,0.0001424726,0.0001766774,0.0009144133],"category_scores_gemma":[0.0001693032,0.00009262141,0.0001275283,0.000257736,0.0001423442,0.00008213161,0.00009623988,0.00008135485,0.0001365011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001272045,"about_ca_system_score_gemma":0.00006807156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007665473,"about_ca_topic_score_gemma":0.0009645011,"domain_scores_codex":[0.9999386,0.000003663749,0.000003165879,0.00001089336,0.00003467976,0.000008873722],"domain_scores_gemma":[0.9999111,0.0000190331,0.00002404267,0.00001318041,0.00002356793,0.000009013197],"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":[0.0000534678,0.000003177316,0.000878947,0.00002327661,0.000004209307,0.0001473546,0.0000418649,0.0001273192,0.9968975,0.00003020798,0.00001492574,0.001777779],"study_design_scores_gemma":[0.000005897783,0.0003658717,0.08923496,0.000007258189,0.00002838554,0.0006464242,0.000113911,0.001000409,0.9067571,0.00005145249,0.001780579,0.000007702635],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99767,0.0002940164,0.001153629,0.000008246112,0.000003235334,0.000006263083,0.00007747189,0.00002808336,0.000759166],"genre_scores_gemma":[0.9979475,0.0001137052,0.000846632,0.000004594201,0.000002060981,0.000003797675,0.0001173492,0.000008093535,0.0009563384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009144133,"threshold_uncertainty_score":0.00305903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377799420324416,"score_gpt":0.2379674124917867,"score_spread":0.2141894182885425,"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."}}