{"id":"W4390057193","doi":"10.33137/twpl.v46i1.39253","title":"On the left periphery of the Kirundi noun phrase","year":2023,"lang":"en","type":"article","venue":"Toronto Working Papers in Linguistics","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Locative case; Linguistics; Noun phrase; Prefix; Computer science; Syntax; Noun; Allomorph; Determiner phrase; Phrase; Natural language processing; Mathematics; Artificial intelligence; Philosophy; Morpheme","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0004689673,0.0002202619,0.0004349851,0.0006158556,0.002910697,0.002050741,0.0003593311,0.0005391671,0.007919822],"category_scores_gemma":[0.0009227102,0.0001706414,0.0001713373,0.0008891294,0.003961414,0.002817097,0.002153498,0.000841361,0.001207081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321543,"about_ca_system_score_gemma":0.0007221765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003127161,"about_ca_topic_score_gemma":0.007439562,"domain_scores_codex":[0.999665,0.00008426125,0.00002051655,0.00009649607,0.00007303305,0.00006072029],"domain_scores_gemma":[0.9995643,0.000175357,0.00005910356,0.00006161143,0.000108431,0.00003116301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004482773,0.00002984248,0.01123423,0.0004904057,0.0000180642,0.001673904,0.04654618,0.0002625865,0.06388129,0.75764,0.001978402,0.1157969],"study_design_scores_gemma":[0.00006140146,0.0005293241,0.09505881,0.0007413477,0.0001242682,0.006075185,0.1043621,0.004220307,0.04932812,0.2356268,0.5036054,0.000266889],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6378445,0.001344891,0.03133101,0.001003682,0.0002312431,0.0000503933,0.0003312468,0.0003089245,0.3275542],"genre_scores_gemma":[0.9860078,0.0001779286,0.005096065,0.0001057412,0.0000343981,0.00001998429,0.000146056,0.0001089864,0.008303008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007919822,"threshold_uncertainty_score":0.02649444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0307205717286991,"score_gpt":0.243570647788924,"score_spread":0.2128500760602249,"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."}}