{"id":"W4367018185","doi":"10.2139/ssrn.4425765","title":"Mitigating the Influence of Industrially Relevant Disturbances on LME Severity of Dissimilar Resistance Spot Welded Advanced High Strength Steels","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Advanced Welding Techniques Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Spot welding; Welding; Environmental science; Metallurgy; Materials science","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001881655,0.0005277562,0.0009722474,0.0002441368,0.0001732181,0.00004460695,0.001328532,0.0003692339,0.000005988397],"category_scores_gemma":[0.0007187488,0.0004261729,0.0003883575,0.0005874899,0.000181229,0.0001758899,0.0002833775,0.006279337,0.000001357328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00123486,"about_ca_system_score_gemma":0.0008327364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008500215,"about_ca_topic_score_gemma":0.0008079636,"domain_scores_codex":[0.9956756,0.0001879955,0.001325759,0.0004721801,0.000789336,0.001549185],"domain_scores_gemma":[0.9970188,0.0004846964,0.00123129,0.0009392198,0.0002407712,0.00008518151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001815944,0.00004480168,0.0005264043,0.0003056754,0.0008493352,0.00001022562,0.0002048083,0.9784875,0.002757463,0.01095376,0.0001039053,0.005574538],"study_design_scores_gemma":[0.001701624,0.00061477,0.01059443,0.008186369,0.0008389651,0.00003212502,0.001816386,0.00491999,0.05260246,0.9161016,0.0007183494,0.00187295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882214,0.001907788,0.008112074,0.0004594429,0.0003072183,0.0004396131,0.0001442174,0.0003083232,0.00009991423],"genre_scores_gemma":[0.9828696,0.0132105,0.003268044,0.000009872434,0.0001828374,0.00004053715,0.00002232168,0.0001095885,0.0002866979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9735675,"threshold_uncertainty_score":0.999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023073692183696,"score_gpt":0.2454960010222807,"score_spread":0.2352652641004437,"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."}}