{"id":"W2506821074","doi":"10.1075/la.210.07arm","title":"Derivation by gender in Lithuanian","year":2014,"lang":"en","type":"book-chapter","venue":"Linguistik aktuell","topic":"Gender Studies in Language","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Lithuanian; Numeral system; Noun; Linguistics; Grammatical gender; Perspective (graphical); Feature (linguistics); Utterance; Part of speech; Expression (computer science); Computer science; Psychology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004649766,0.0004610628,0.0004641819,0.001112518,0.002048218,0.001966976,0.0004646958,0.0004954771,0.005356811],"category_scores_gemma":[0.0007281875,0.0002322748,0.0003668719,0.00130965,0.002637586,0.001318529,0.001858895,0.0007150396,0.00178533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196019,"about_ca_system_score_gemma":0.001738732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003471392,"about_ca_topic_score_gemma":0.006043688,"domain_scores_codex":[0.9994103,0.0002150997,0.00005214714,0.00009921244,0.0001210639,0.0001021781],"domain_scores_gemma":[0.9998356,0.00005842181,0.00002366012,0.00002854497,0.00004228001,0.00001138045],"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":[0.0002081662,0.00007176078,0.01473073,0.0006384237,0.00005210451,0.006044628,0.03066124,0.0004659439,0.00513156,0.7370971,0.006899653,0.1979986],"study_design_scores_gemma":[0.00009122025,0.0004218593,0.06061352,0.0009743675,0.0001400914,0.008841673,0.01326255,0.001761314,0.01736335,0.2629899,0.6334052,0.0001348819],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3887268,0.02112915,0.01323729,0.002189121,0.000672448,0.00006284517,0.0004366749,0.0003457846,0.5732],"genre_scores_gemma":[0.9562271,0.004114593,0.003732671,0.0003545124,0.0001158315,0.00003429101,0.0003079893,0.0001449446,0.03496819],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.005356811,"threshold_uncertainty_score":0.01792032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02898429679073491,"score_gpt":0.2932011708855654,"score_spread":0.2642168740948305,"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."}}