{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002335065,0.0003697729,0.0002562445,0.000370269,0.0001713278,0.0003152193,0.0002191303,0.0003837583,0.001137063],"category_scores_gemma":[0.001386169,0.0001146644,0.0001668678,0.0001833108,0.0001545205,0.0002179559,0.0003887884,0.0003342139,0.000231815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001154451,"about_ca_system_score_gemma":0.0001913344,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00100439,"about_ca_topic_score_gemma":0.001697397,"domain_scores_codex":[0.9998337,0.00003109154,0.000007483663,0.00002748517,0.00006068734,0.0000395603],"domain_scores_gemma":[0.9993286,0.0002007089,0.0001499769,0.00005514733,0.0001966685,0.0000688963],"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":[0.002210818,0.000380702,0.03363421,0.0003085663,0.0000939564,0.0005391052,0.0002093864,0.1673161,0.6845482,0.0005234731,0.00062484,0.1096106],"study_design_scores_gemma":[0.00007944671,0.002768031,0.303668,0.00003683902,0.0001753452,0.0004224651,0.0005816039,0.4477812,0.2418395,0.0006228869,0.001974028,0.000050778],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733422,0.0001017941,0.0237542,0.00005027739,0.00002184449,0.00002240077,0.00004549645,0.0001927829,0.002469039],"genre_scores_gemma":[0.9986767,0.00001633619,0.0009793304,0.000005375464,0.000003435458,0.000001723611,0.00002458861,0.00000730493,0.0002851081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001137063,"threshold_uncertainty_score":0.003803909,"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."}}