{"id":"W2042207505","doi":"10.1016/j.msea.2011.04.070","title":"Mechanical reliability characterization of low carbon steel brazed joints with copper filler metal","year":2011,"lang":"en","type":"article","venue":"Materials Science and Engineering A","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Brazing; Dimple; Composite material; Ultimate tensile strength; Joint (building); Tensile testing; Butt joint; Failure mode and effects analysis; Fracture toughness; Shear (geology); Void (composites); Fracture mechanics; Direct shear test; Metallurgy; 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":[0.0004030477,0.0001279125,0.000234636,0.000124268,0.0000274251,0.00002217836,0.0001354798,0.00004591186,0.00003218689],"category_scores_gemma":[0.0000512906,0.0001059632,0.00001572551,0.0003197055,0.00008717171,0.0002308863,0.00004800372,0.00004755102,9.460081e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004108781,"about_ca_system_score_gemma":0.00001301705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001866848,"about_ca_topic_score_gemma":6.363612e-7,"domain_scores_codex":[0.9991796,0.000006891407,0.0002086506,0.0001976387,0.0002011697,0.0002060449],"domain_scores_gemma":[0.999589,0.000007913665,0.0000360434,0.0002263613,0.00007840466,0.00006225083],"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":[0.000008743879,0.000007867873,0.00003687342,0.00007646687,0.000007899785,0.000001106322,0.00009714333,0.001458452,0.9981408,0.0000865308,7.329373e-7,0.00007745855],"study_design_scores_gemma":[0.00008484141,0.00004178965,0.004247126,0.00005616685,0.00001618606,0.000004868267,0.000006689902,0.03146196,0.9639085,0.00002311906,0.00001251575,0.0001362373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914029,0.000004337939,0.008028463,0.000004638267,0.0001221424,0.0001028718,0.000008897832,0.0002382906,0.00008742099],"genre_scores_gemma":[0.9891727,0.00001941495,0.01074324,0.000004341057,0.0000146291,0.00001795132,0.000002828826,0.00001943652,0.000005469068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03423223,"threshold_uncertainty_score":0.4321056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008627222313905388,"score_gpt":0.1883923451358765,"score_spread":0.1797651228219711,"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."}}