{"id":"W4407309053","doi":"10.48550/arxiv.2502.04634","title":"The generic basis and flavour non-universal SMEFT","year":2025,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Los Alamos National Laboratory; National Nuclear Security Administration; Natural Sciences and Engineering Research Council of Canada; Laboratory Directed Research and Development; U.S. Department of Energy; National Science Foundation","keywords":"Computer science","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":[0.0007728044,0.0003807077,0.0003844306,0.000782963,0.0004649382,0.0005181872,0.0005898474,0.0004264466,0.00220385],"category_scores_gemma":[0.002288542,0.0001366372,0.0004728156,0.0007071455,0.001372879,0.001264657,0.0008667558,0.0006519622,0.0001961826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002738209,"about_ca_system_score_gemma":0.0002611119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004350595,"about_ca_topic_score_gemma":0.0005424822,"domain_scores_codex":[0.9996653,0.00008377324,0.00001753941,0.00006382743,0.0001043941,0.00006519937],"domain_scores_gemma":[0.9991015,0.0001627887,0.000166779,0.0004090572,0.0001070837,0.00005280532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002528131,0.00005951804,0.008766583,0.00009116891,0.00003827963,0.0003645854,0.000276428,0.01580571,0.04308407,0.8920864,0.0005840613,0.03859037],"study_design_scores_gemma":[0.00002776844,0.0001281815,0.009767891,0.00002863101,0.00002925711,0.000482367,0.0002248662,0.132641,0.01610383,0.8369455,0.003568919,0.00005172633],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8561379,0.0001660993,0.131717,0.0001962943,0.00002340934,0.00001498374,0.0001512728,0.0001597735,0.01143333],"genre_scores_gemma":[0.9855214,0.0000733027,0.01338228,0.0000310525,0.00001254582,0.00001009315,0.00009077817,0.00002821248,0.000850314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00220385,"threshold_uncertainty_score":0.007372618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909253058103458,"score_gpt":0.156461673643267,"score_spread":0.1273691430622324,"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."}}