{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001178953,0.0004332708,0.0003528708,0.002831509,0.0014481,0.002824932,0.0007470307,0.0009500636,0.005399115],"category_scores_gemma":[0.001413404,0.0002631314,0.000814116,0.00151526,0.003223295,0.005686384,0.003720139,0.00121599,0.0007127431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007613824,"about_ca_system_score_gemma":0.0004566732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006948701,"about_ca_topic_score_gemma":0.0004263196,"domain_scores_codex":[0.9985809,0.0001816284,0.0001333313,0.0003207757,0.0004573818,0.0003260009],"domain_scores_gemma":[0.9986784,0.0002932,0.0001833483,0.0002427088,0.0003400874,0.0002622574],"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":[0.00005039258,0.00002320207,0.003179639,0.00008170089,0.00001774471,0.0001455397,0.0009983731,0.0008712003,0.004536379,0.9664158,0.001330523,0.02234949],"study_design_scores_gemma":[0.0000111499,0.00007092039,0.004442372,0.00005978249,0.00002176719,0.0007628056,0.0007222216,0.005203987,0.003115681,0.9687071,0.0168351,0.00004712446],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7430237,0.001711296,0.1924292,0.001157496,0.0003156602,0.00009054948,0.0009721507,0.0004362504,0.05986375],"genre_scores_gemma":[0.9738355,0.0003557246,0.01814905,0.000236161,0.0001205866,0.00006713124,0.0007097587,0.0000515684,0.006474494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005399115,"threshold_uncertainty_score":0.01806182,"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."}}