{"id":"W2010426631","doi":"10.1016/s0747-7171(02)00104-9","title":"A database of categories","year":2003,"lang":"en","type":"article","venue":"Journal of Symbolic Computation","topic":"Logic, programming, and type systems","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University; University of Waterloo","funders":"","keywords":"Functor; Mathematics; Computation; Set (abstract data type); Functor category; Programming language; Algebra over a field; Theoretical computer science; Database; Computer science; Pure mathematics; Algorithm","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":[0.001628962,0.000809808,0.001987917,0.008598645,0.003298106,0.01120326,0.003094345,0.001607738,0.02260569],"category_scores_gemma":[0.007143587,0.001349613,0.001723489,0.01222874,0.00214458,0.01712697,0.004850333,0.002535608,0.008744339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831737,"about_ca_system_score_gemma":0.002449308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004044572,"about_ca_topic_score_gemma":0.003316244,"domain_scores_codex":[0.9971039,0.0004212559,0.0005852082,0.001012309,0.0006845929,0.0001928496],"domain_scores_gemma":[0.9955457,0.0007550357,0.0002254345,0.001800684,0.001342566,0.0003303729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000106458,0.00006099623,0.001664662,0.0002952987,0.00006748069,0.0001544086,0.0007517774,0.0008677283,0.0009668528,0.8547323,0.03186804,0.1084639],"study_design_scores_gemma":[0.00003094661,0.00003265597,0.0006027552,0.0001524965,0.00007198926,0.0004785297,0.0004531417,0.002196542,0.0008467808,0.6879781,0.3071072,0.00004898915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"dataset","genre_scores_codex":[0.05298647,0.02479587,0.691327,0.00709684,0.002380519,0.0005025471,0.06619242,0.01046247,0.1442559],"genre_scores_gemma":[0.4350421,0.01561716,0.4082699,0.002363628,0.001278768,0.0007718555,0.08102837,0.001835662,0.05379251],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.02260569,"threshold_uncertainty_score":0.07562357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543372123129081,"score_gpt":0.2721982775063541,"score_spread":0.2467645562750633,"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."}}