{"id":"W2093146989","doi":"10.1179/1362171812y.0000000008","title":"Influences of welding parameters on mechanical properties of AZ31 friction stir spot welds","year":2012,"lang":"en","type":"article","venue":"Science and Technology of Welding & Joining","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"China Scholarship Council; China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Materials science; Dwell time; Welding; Spot welding; Rotational speed; Composite material; Ultimate tensile strength; Friction stir welding; Shear (geology); Brittleness; Optical microscope; Microstructure; Fracture (geology); Scanning electron microscope; Metallurgy; Mechanical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007805975,0.00009803669,0.0002199756,0.0007459098,0.0001090728,0.000007610783,0.0002392959,0.00008747432,0.00000276703],"category_scores_gemma":[0.0003739409,0.00008746044,0.00003098974,0.001445117,0.0006385751,0.0004586368,0.00008313295,0.0001426666,4.070812e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003259627,"about_ca_system_score_gemma":0.00001416709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000140794,"about_ca_topic_score_gemma":5.763468e-7,"domain_scores_codex":[0.9990028,0.000008980121,0.0003017643,0.0001592194,0.0002398598,0.0002873827],"domain_scores_gemma":[0.9995112,0.00003928597,0.0001138446,0.0002006663,0.00009089238,0.00004415058],"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":[0.000006633604,0.00001903692,0.0178526,0.00003561708,0.00001717144,3.153758e-7,0.000246794,0.004153475,0.9416273,0.01672615,0.000001491768,0.01931347],"study_design_scores_gemma":[0.00007372392,0.0001148916,0.001244954,0.0001661315,0.00001729412,0.000006996674,0.0009081743,0.004044331,0.9917272,0.001593974,0.00001199081,0.00009028395],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900931,0.0002767903,0.008909283,0.000128719,0.00008124456,0.00006421037,3.923327e-7,0.0002454653,0.0002008284],"genre_scores_gemma":[0.9628392,0.00005750202,0.03707657,0.000007465887,0.000006226863,0.000005331432,3.507779e-8,0.000006831945,8.180916e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0501,"threshold_uncertainty_score":0.3566534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259063308556392,"score_gpt":0.247908877189376,"score_spread":0.2253182441038121,"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."}}