{"id":"W3202329562","doi":"10.21468/scipostphys.13.2.029","title":"Computing associators of endomorphism fusion categories","year":2022,"lang":"en","type":"article","venue":"SciPost Physics","topic":"Algebraic structures and combinatorial models","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute","funders":"Ministry of Colleges and Universities; Industry Canada; National Science Foundation; Government of Canada; Institut Périmètre de physique théorique; National Centres of Competence in Research SwissMAP; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; American Institute of Mathematics","keywords":"Endomorphism; Fusion; Mathematics; Pure mathematics; Natural language processing; Computer science; Artificial intelligence; Algebra over a field; Linguistics; Philosophy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002206648,0.0004779705,0.0007868962,0.002753445,0.001223651,0.003449972,0.00158605,0.001008525,0.006123222],"category_scores_gemma":[0.008158031,0.0006101397,0.001361227,0.001656189,0.002224774,0.007734316,0.005196283,0.001904289,0.001475545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577243,"about_ca_system_score_gemma":0.0008488456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009281196,"about_ca_topic_score_gemma":0.0009892008,"domain_scores_codex":[0.9976653,0.0004106585,0.0002515983,0.0005389521,0.0008465536,0.0002870034],"domain_scores_gemma":[0.9967152,0.001084137,0.0003027679,0.0007917347,0.0008139735,0.0002922482],"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":[0.0001483142,0.00006844678,0.007615414,0.0001471441,0.00004629964,0.0002029716,0.001383715,0.0119102,0.005830046,0.8843629,0.001910598,0.08637406],"study_design_scores_gemma":[0.00001534536,0.00008533477,0.002578086,0.00004340414,0.00003116579,0.0002061433,0.0005164705,0.07818183,0.01574457,0.89219,0.01033008,0.00007762777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4064177,0.0001312014,0.5810101,0.0002119178,0.00007326787,0.0000585257,0.0006125892,0.0021949,0.009289814],"genre_scores_gemma":[0.813018,0.0001045448,0.1804962,0.00006344216,0.00007851608,0.00008599873,0.00135342,0.0004700957,0.004329907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006123222,"threshold_uncertainty_score":0.02048421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02805655263612035,"score_gpt":0.2781146035559722,"score_spread":0.2500580509198518,"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."}}