{"id":"W2560242039","doi":"10.4148/1944-3676.1109","title":"Container Constructions in Yudja: locatives, individuation and measure","year":2016,"lang":"en","type":"article","venue":"The Baltic International Yearbook of Cognition Logic and Communication","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universidade Federal do Rio de Janeiro; Fundação Universitária José Bonifácio; National Science Foundation","keywords":"Locative case; Linguistics; Individuation; Noun phrase; Interpretation (philosophy); Computer science; Container (type theory); Context (archaeology); Notional amount; Noun; Psychology; Artificial intelligence; History; Engineering","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":[0.000414194,0.00007407017,0.00009661864,0.0001029744,0.0001292473,0.00004152517,0.0001345295,0.00003409428,0.0002460559],"category_scores_gemma":[0.0003896431,0.00004870733,0.00001744047,0.00002393125,0.0005027422,0.0001575635,0.00005824494,0.0000739406,0.00001045111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003120891,"about_ca_system_score_gemma":0.00002489021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00022523,"about_ca_topic_score_gemma":0.0004562566,"domain_scores_codex":[0.9992712,0.0001337698,0.0002632061,0.0001014548,0.0001632673,0.00006715296],"domain_scores_gemma":[0.9988929,0.000400868,0.000194748,0.0001456284,0.0003492221,0.00001663948],"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":[0.0000279857,0.00003353789,0.0005889635,0.000006033298,0.00003362679,1.314462e-7,0.005076571,8.961062e-7,0.000269914,0.984534,0.00002275349,0.00940557],"study_design_scores_gemma":[0.001288103,0.00005153777,0.02493234,0.0003219374,0.00006703873,0.00001128562,0.006681532,0.0005842954,0.0001907719,0.9643473,0.001385591,0.000138244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.56863,0.001178201,0.01627567,0.1680338,0.00108384,0.001516282,0.0002509583,0.0001365193,0.2428947],"genre_scores_gemma":[0.9988011,0.0002459435,0.0003174721,0.0001721238,0.0001005167,0.00002954606,0.00003460897,0.000005686703,0.0002930471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.430171,"threshold_uncertainty_score":0.269414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785464340429895,"score_gpt":0.2494611722827451,"score_spread":0.2116065288784462,"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."}}