{"id":"W4281555085","doi":"10.33137/twpl.v44i1.36727","title":"Brazilian and English bare nouns: Language variation, experiments, and L2s","year":2022,"lang":"en","type":"article","venue":"Toronto Working Papers in Linguistics","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Toronto","keywords":"Plural; Linguistics; Noun; Determiner; Computer science; Atomicity; Inflection; Gerund; Semantics (computer science); Natural language processing; Artificial intelligence; Programming language; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004858667,0.0006438546,0.0008834032,0.0005284094,0.001922945,0.001848063,0.001056446,0.0008766881,0.006786226],"category_scores_gemma":[0.02378254,0.0005417325,0.0004031839,0.0008651661,0.003281534,0.00214933,0.002820107,0.001269116,0.00102064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001160848,"about_ca_system_score_gemma":0.0006500023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001679,"about_ca_topic_score_gemma":0.008934593,"domain_scores_codex":[0.9936478,0.002862297,0.0005864352,0.001390966,0.001294664,0.0002178365],"domain_scores_gemma":[0.9794704,0.01387992,0.0020059,0.002531772,0.00156756,0.0005445312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01473203,0.01796355,0.09663223,0.002830296,0.0004424575,0.002650383,0.2253167,0.00201666,0.3937573,0.05880671,0.00847306,0.1763787],"study_design_scores_gemma":[0.003621561,0.0299824,0.5470126,0.001046965,0.001014152,0.006694434,0.06547531,0.01039169,0.09938086,0.1149749,0.1192136,0.001191528],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787103,0.0004051721,0.002681103,0.0003170156,0.00005686911,0.0001896906,0.0004137592,0.00005759485,0.01716864],"genre_scores_gemma":[0.9887291,0.0002843842,0.004274129,0.0005326841,0.00005789291,0.0008166643,0.0007950424,0.0002254645,0.004284699],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001679,"threshold_uncertainty_score":0.02569544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144767326492828,"score_gpt":0.2379894573960096,"score_spread":0.2235127247467268,"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."}}