{"id":"W4224305482","doi":"10.1093/acrefore/9780199384655.013.398","title":"Lexical Representations in Language Processing","year":2022,"lang":"en","type":"reference-entry","venue":"Oxford Research Encyclopedia of Linguistics","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Mental lexicon; Lexicon; Lexical item; Linguistics; Metaphor; Vocabulary; Lexis; Computer science; Mental representation; Psychology; Natural language processing; Cognition","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":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001682369,0.0003250838,0.0006535589,0.001177786,0.0002490172,0.00005890082,0.0007767787,0.0005219523,0.006660961],"category_scores_gemma":[0.008866298,0.0003182851,0.0001755597,0.001304823,0.0003248407,0.00003127958,0.0004186213,0.003141491,0.00006433535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002226553,"about_ca_system_score_gemma":0.000989478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001467832,"about_ca_topic_score_gemma":0.0003579543,"domain_scores_codex":[0.9947291,0.001046731,0.0009144229,0.0008030646,0.001578079,0.0009285827],"domain_scores_gemma":[0.9967855,0.001138042,0.0003138961,0.0007926042,0.0007776063,0.0001924089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004312267,0.001891078,0.004877699,0.002103743,0.0002081985,0.002491407,0.0291065,0.000006411073,0.000001863142,0.01615659,0.2770077,0.6657176],"study_design_scores_gemma":[0.0006695597,0.0002204467,0.001197927,0.0003753139,0.00007660039,0.00001173756,0.01502542,0.00002852059,0.000004009172,0.00374731,0.9782909,0.0003523252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0018932,0.01426103,0.00006650486,0.00005109304,0.00293949,0.000679884,0.0005616345,0.00006024921,0.9794869],"genre_scores_gemma":[0.05650472,0.2028696,0.002286498,0.0001126223,0.01174565,0.001321906,0.005693474,0.0003233478,0.7191422],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7012832,"threshold_uncertainty_score":0.9999269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07647450225970687,"score_gpt":0.4262594833685159,"score_spread":0.349784981108809,"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."}}