{"id":"W4404390801","doi":"10.48550/arxiv.2411.05907","title":"The Classification of Fusion 2-Categories","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Scientific Research Methods","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Army Research Office; Natural Sciences and Engineering Research Council of Canada; Engineering and Physical Sciences Research Council; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Fusion; Artificial intelligence; Pattern recognition (psychology); Computer science; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008425558,0.0001288432,0.0001447648,0.00002339022,0.0002834293,0.00009131742,0.0007941004,0.0001495173,0.00007257058],"category_scores_gemma":[0.0001538557,0.00004529352,0.0001514906,0.0006464656,0.0003645747,0.00005763174,0.001212577,0.0004360715,0.00005311268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006720159,"about_ca_system_score_gemma":0.00003740921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009708105,"about_ca_topic_score_gemma":0.0002735931,"domain_scores_codex":[0.9987034,0.0002498718,0.0001590936,0.0005415868,0.0001283486,0.0002177178],"domain_scores_gemma":[0.9988276,0.0005426302,0.0001518736,0.000219896,0.0001833031,0.00007464928],"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":[0.0001876887,0.00012038,0.001821765,0.0001685567,0.000105049,0.00005058018,0.0002396043,0.005938823,0.3538287,0.4440868,0.00266977,0.1907823],"study_design_scores_gemma":[0.00008224639,0.000105011,0.02709516,0.00011143,0.0000621584,0.000001385576,0.001977426,0.04698202,0.004897164,0.8862215,0.03210488,0.0003596762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930418,0.0003175921,0.001054298,0.0006494675,0.000657889,0.0002686101,0.0000478603,0.00007323737,0.003889277],"genre_scores_gemma":[0.9908733,0.0005123575,0.00008958465,0.000004437129,0.00008462319,0.00000126509,0.00003240682,0.000001013742,0.008401053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4421346,"threshold_uncertainty_score":0.2179938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2103258276358121,"score_gpt":0.2662807915128144,"score_spread":0.05595496387700222,"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."}}