{"id":"W2184849978","doi":"10.3765/bls.v31i1.876","title":"N-kí-N in Yorùbá and the Semantics of Any","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Annual Meeting of the Berkeley Linguistics Society","topic":"Linguistic Studies and Language Acquisition","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Semantics (computer science); Yoruba; Computer science; Programming language; Mathematics; Linguistics; 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":[0.0009654188,0.0003476841,0.0007263279,0.0008991718,0.004685046,0.0025723,0.0009298846,0.001082829,0.006947926],"category_scores_gemma":[0.002272849,0.000504891,0.0006269116,0.001005853,0.00717751,0.01168759,0.003616314,0.00196276,0.0006763374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002438493,"about_ca_system_score_gemma":0.001426345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01368408,"about_ca_topic_score_gemma":0.0156942,"domain_scores_codex":[0.9992588,0.0002789324,0.00005655926,0.0001880936,0.0000575728,0.00016],"domain_scores_gemma":[0.9994243,0.0001993171,0.00004947649,0.0001347553,0.0001373992,0.00005486011],"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":[0.00005361105,0.000008020629,0.0002129408,0.0000279607,0.000004127847,0.0000688654,0.001796215,0.0001273539,0.0004168163,0.9935418,0.0006050554,0.003137237],"study_design_scores_gemma":[0.00002791759,0.00001897422,0.0006002127,0.0000477308,0.00002075299,0.000104481,0.001813328,0.001196172,0.0003997041,0.9664848,0.02926436,0.00002145826],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2506789,0.00609761,0.1374266,0.01090986,0.001361541,0.000130651,0.0003134104,0.0005701689,0.5925114],"genre_scores_gemma":[0.9695694,0.0006274531,0.01318078,0.0004513259,0.0001189653,0.0000666461,0.0001227239,0.0001383991,0.01572436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01368408,"threshold_uncertainty_score":0.02720886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004891777953953659,"score_gpt":0.2102492625186355,"score_spread":0.2053574845646818,"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."}}