{"id":"W2025906413","doi":"10.1007/bf03266458","title":"Monitoring of Dynamic Mechanical Parameters in Resistance Spot Welding of Aluminium","year":2005,"lang":"en","type":"article","venue":"Welding in the World","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"China Scholarship Council; University of Waterloo","keywords":"Spot welding; Materials science; Welding; Electrode; Electric resistance welding; Aluminium; Displacement (psychology); Composite material; Drop (telecommunication); Metallurgy; Solid mechanics; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0007725687,0.0001712276,0.000374747,0.0005071129,0.00002273062,0.00001008864,0.0004900285,0.00006985188,0.000008650897],"category_scores_gemma":[0.00007294302,0.0001614775,0.0001072393,0.001131751,0.00004562239,0.0001301399,0.00005263916,0.000377595,0.000001515433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229909,"about_ca_system_score_gemma":0.000006115756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000292564,"about_ca_topic_score_gemma":0.0006876225,"domain_scores_codex":[0.9985715,0.00006047079,0.0006073616,0.0002033617,0.0002456066,0.0003117658],"domain_scores_gemma":[0.9990235,0.0003806525,0.0001163845,0.0004357255,0.00001737405,0.00002637063],"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":[0.00005978784,0.00008656276,0.007022314,0.0002299577,0.00006102634,0.00002027071,0.0009557047,0.9461037,0.03610802,0.00234244,0.0001178378,0.006892396],"study_design_scores_gemma":[0.0006564593,0.00003803418,0.005929179,0.002264636,0.00007331152,0.000004763847,0.0008144018,0.08817944,0.8950042,0.005255706,0.001176396,0.0006034763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900737,0.0004807352,0.007354959,0.0001897366,0.0001105262,0.0001732804,0.000002599077,0.000127793,0.001486603],"genre_scores_gemma":[0.8987151,0.0001484192,0.1009733,0.000009422948,0.00002831665,0.00002488544,7.137775e-7,0.00003071437,0.00006912044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8588962,"threshold_uncertainty_score":0.6584859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251611273231393,"score_gpt":0.2670375863547604,"score_spread":0.2545214736224464,"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."}}