{"id":"W4406080316","doi":"10.1016/j.mtcomm.2025.111514","title":"Optimization, thermo-mechanical loading effects and microstructure evolutions of Metal Inert Gas (MIG) welded 304L stainless steel","year":2025,"lang":"en","type":"article","venue":"Materials Today Communications","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Microstructure; Inert gas; Welding; Metallurgy; Inert; Composite material; Gas metal arc welding; Metal; Heat-affected zone","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001629727,0.000156085,0.0002824453,0.0001176138,0.0002072352,0.00006273991,0.0004803237,0.0001392611,0.00005119913],"category_scores_gemma":[0.00008035715,0.0001425474,0.00003784381,0.0002285397,0.0001196478,0.00008239003,0.0003472895,0.0001210133,0.000001037115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004102017,"about_ca_system_score_gemma":0.00002335888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000852818,"about_ca_topic_score_gemma":0.00002346333,"domain_scores_codex":[0.9991707,0.000123643,0.0003426067,0.0001292304,0.00007103733,0.0001627656],"domain_scores_gemma":[0.9988212,0.0001837599,0.00006480555,0.0008130033,0.00008083416,0.00003641503],"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":[0.00001063456,0.0000553281,0.0000776188,0.0004416453,0.0001441026,6.633612e-7,0.0001599743,0.009744979,0.9685004,0.01893454,0.001496267,0.0004338736],"study_design_scores_gemma":[0.0003919299,0.00003391891,0.001627023,0.0004117115,0.0001349897,0.000006535861,0.00009097737,0.004623223,0.9860643,0.003700006,0.00265606,0.0002593391],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9419627,0.006360105,0.0443931,0.001441594,0.0006024406,0.00107871,0.0002950904,0.0009276107,0.002938618],"genre_scores_gemma":[0.9730647,0.001663621,0.0249951,0.00002624898,0.00001856464,0.00007156596,0.00007769503,0.00002371138,0.00005884108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03110192,"threshold_uncertainty_score":0.5812916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007164231175200523,"score_gpt":0.2369026326436061,"score_spread":0.2297384014684056,"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."}}