{"id":"W3196836916","doi":"10.1007/s40194-021-01179-z","title":"Failure behavior and mechanical properties in the resistance spot welding of quenched and partitioned (Q&amp;P) steels","year":2021,"lang":"en","type":"article","venue":"Welding in the World","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"ArcelorMittal (Canada); University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Fractography; Spot welding; Ductility (Earth science); Ultimate tensile strength; Welding; Tensile testing; Tension (geology); Microstructure; Solid mechanics; Composite material; Failure mode and effects analysis; Shear (geology); Structural 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":[0.0006364473,0.0001386469,0.0002347906,0.0001316499,0.0000694546,0.00005242507,0.0001996074,0.00005530503,0.00001434479],"category_scores_gemma":[0.0001083493,0.00009697505,0.00004084921,0.0006322989,0.00005754062,0.0001181814,0.00005664149,0.0003123885,5.038596e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004315401,"about_ca_system_score_gemma":0.000007325248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002420984,"about_ca_topic_score_gemma":0.004296988,"domain_scores_codex":[0.9989726,0.0001309662,0.0003108094,0.0001994983,0.0001813368,0.0002047969],"domain_scores_gemma":[0.9993892,0.0001832032,0.00004823501,0.0003349424,0.00002378678,0.00002061766],"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":[0.0002706784,0.0008461958,0.05617255,0.002533358,0.0003476448,0.0008408901,0.03374784,0.1144373,0.6880701,0.09181119,0.00486929,0.006052956],"study_design_scores_gemma":[0.002652181,0.0001125009,0.0370933,0.004945824,0.000673012,0.0002398178,0.01792009,0.008502665,0.8571479,0.04468241,0.02380395,0.002226337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950526,0.001173043,0.001581106,0.00144314,0.00003120597,0.0002436558,0.000003740139,0.00008008073,0.0003914662],"genre_scores_gemma":[0.9903659,0.0001677072,0.009124775,0.00006585518,0.00002189775,0.000109232,0.000002711411,0.00001801214,0.0001239649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1690778,"threshold_uncertainty_score":0.3954528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429273385882761,"score_gpt":0.2518318877134474,"score_spread":0.2275391538546198,"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."}}