{"id":"W4234433151","doi":"10.1017/cbo9781139833899","title":"The Universal Structure of Categories","year":2014,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Linguistic research and analysis","field":"Arts and Humanities","cited_by":262,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Universal grammar; Generative grammar; Linguistics; Typology; Universal set; Variety (cybernetics); Grammar; Linguistic universal; German; Computer science; Set (abstract data type); Theoretical linguistics; Field (mathematics); Artificial intelligence; Sociology; Mathematics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008654728,0.0002235625,0.0003485889,0.0001219296,0.0006647379,0.000132869,0.000740213,0.0001255413,0.00002979872],"category_scores_gemma":[0.00004538908,0.0001694776,0.0002356758,0.000006079671,0.001416807,0.00004150369,0.0002412889,0.0003787488,0.00000541603],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001204304,"about_ca_system_score_gemma":0.0003356884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008274384,"about_ca_topic_score_gemma":0.0002419421,"domain_scores_codex":[0.9988835,0.00009137178,0.0001661188,0.0002424405,0.0003487252,0.000267801],"domain_scores_gemma":[0.9984473,0.0002373005,0.0002437081,0.0004740806,0.000494496,0.0001031454],"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":[0.00004035182,0.000002429214,7.009357e-7,0.00006858123,0.0002021555,0.00002268068,0.0007603308,5.191849e-7,0.000003672498,0.7689683,0.229718,0.0002122793],"study_design_scores_gemma":[0.0002035318,0.00004331925,0.00000113906,0.0000423632,0.0002525294,7.595432e-7,0.0007252784,0.00003366916,0.00008233904,0.000285506,0.9981456,0.000183901],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001365038,0.0001370485,0.00003006183,0.00001637636,0.0003182373,0.0001410466,0.0006086137,0.00003692006,0.9985752],"genre_scores_gemma":[0.01332013,0.00005462014,0.000004590205,0.00001277134,0.0007813548,1.051171e-7,0.0001037395,0.00002137546,0.9857013],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7686828,"threshold_uncertainty_score":0.6911095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773773532566509,"score_gpt":0.1948661380605404,"score_spread":0.1771284027348753,"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."}}