{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002626639,0.0002045313,0.0003856246,0.004085873,0.001714269,0.003575538,0.0007885825,0.0005351061,0.006717728],"category_scores_gemma":[0.01466346,0.0003044263,0.0004031463,0.004432837,0.007804127,0.008342225,0.003770857,0.001108109,0.0007067611],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002009349,"about_ca_system_score_gemma":0.00149588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004165785,"about_ca_topic_score_gemma":0.005793582,"domain_scores_codex":[0.9964312,0.00114064,0.0002085008,0.0008393507,0.001078618,0.0003016428],"domain_scores_gemma":[0.993282,0.003606122,0.0004494717,0.001498541,0.0009994868,0.0001644484],"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":[0.00002622573,0.000007979295,0.01143942,0.000165697,0.00002444469,0.00007150565,0.01063864,0.0002708421,0.0004983753,0.886608,0.003629825,0.086619],"study_design_scores_gemma":[0.000006548954,0.00002274728,0.03067075,0.0002529052,0.00002258804,0.000613076,0.006810575,0.001077315,0.0006385289,0.8449496,0.1149069,0.00002836744],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3505122,0.009780097,0.1167776,0.004180606,0.000201835,0.0001373607,0.003647052,0.0004262854,0.5143369],"genre_scores_gemma":[0.9791881,0.000904883,0.01336595,0.0002175882,0.00003431534,0.00009680875,0.001314861,0.0001191353,0.004758352],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006717728,"threshold_uncertainty_score":0.0224731,"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."}}