{"id":"W3090211777","doi":"10.1075/lv.00024.bom","title":"Count and mass nouns in Patxohã","year":2020,"lang":"en","type":"article","venue":"Linguistic Variation","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Plural; Numeral system; Noun; Linguistics; Quantifier (linguistics); Literal (mathematical logic); Computer science; Natural language processing; Noun phrase; Mathematics; Artificial intelligence; 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":[0.0002482197,0.0001425372,0.0001966363,0.00007803814,0.0001302881,0.0001936789,0.0000873319,0.00005998387,0.0003771193],"category_scores_gemma":[0.003529906,0.0001496584,0.00002648017,0.0000551789,0.00004616241,0.00006359478,0.00002504074,0.0001396973,0.00009961605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005673467,"about_ca_system_score_gemma":0.00004645491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265264,"about_ca_topic_score_gemma":0.0005529679,"domain_scores_codex":[0.9988821,0.000051122,0.0003781532,0.0002865322,0.0002110997,0.0001909762],"domain_scores_gemma":[0.9992586,0.0001892561,0.0001507116,0.0001228118,0.0002026372,0.00007598267],"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":[0.00002516466,0.00003126344,0.002665985,0.00006825211,0.00001857635,0.00001511039,0.1332646,0.00005249381,0.0001363469,0.8633969,0.00004346486,0.0002818588],"study_design_scores_gemma":[0.002406718,0.0002949547,0.02652664,0.0001603707,0.000207777,0.000003540419,0.005140741,0.2452222,0.00007308455,0.6715177,0.04756439,0.000881901],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4047567,0.0006536586,0.159201,0.1624111,0.02568179,0.003510784,0.0005351089,0.001628597,0.2416212],"genre_scores_gemma":[0.9940146,0.00001129332,0.00151521,0.0007521645,0.003490288,0.00001241681,0.00004750234,0.00002291943,0.0001335982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5892579,"threshold_uncertainty_score":0.6102892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02715442454138964,"score_gpt":0.2272885766361067,"score_spread":0.2001341520947171,"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."}}