{"id":"W4413049060","doi":"10.1016/j.jmrt.2025.07.258","title":"Microstructural evolution and mechanical behavior of resistance spot welded FeCrNiSiB advanced high-strength steel","year":2025,"lang":"en","type":"article","venue":"Journal of Materials Research and Technology","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University","keywords":"Materials science; Spot welding; Welding; Composite material; Metallurgy; High strength steel; Microstructure; Mechanical strength","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001719799,0.0002044983,0.0001404103,0.0003116873,0.0001471893,0.0001293318,0.0001940181,0.0002780495,0.0004882912],"category_scores_gemma":[0.0002738788,0.0001706723,0.0001366147,0.0001163322,0.0001912571,0.0001428715,0.0001045802,0.0001282454,0.0001229054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001864461,"about_ca_system_score_gemma":0.00008973366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001620335,"about_ca_topic_score_gemma":0.003849277,"domain_scores_codex":[0.9998171,0.00001827062,0.00001102546,0.00002858795,0.0001049643,0.00001995648],"domain_scores_gemma":[0.9998227,0.00002301713,0.00004426491,0.00001704518,0.00006929228,0.00002388198],"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":[0.0000370601,0.000004084921,0.0006697045,0.00001540607,0.000002921177,0.00003438158,0.00002161449,0.000269272,0.9981543,0.000006722005,0.000006501393,0.0007779287],"study_design_scores_gemma":[0.000009776061,0.0009178161,0.09668249,0.000005165081,0.000021632,0.0003487002,0.00008915244,0.003678208,0.8974139,0.00001857936,0.0008015253,0.00001302935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987994,0.0001140538,0.0007682799,0.000004122187,0.000001522994,0.000006141062,0.00003950619,0.00001692679,0.00025008],"genre_scores_gemma":[0.9985342,0.00004091602,0.0007811075,0.000003220846,9.535013e-7,0.000004329202,0.00007986085,0.000006279039,0.0005490715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001620335,"threshold_uncertainty_score":0.003221869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01050977829127621,"score_gpt":0.3012606569839981,"score_spread":0.2907508786927219,"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."}}