{"id":"W3012384143","doi":"10.1111/lnc3.12370","title":"The production and comprehension of referring expressions: Definite description","year":2020,"lang":"en","type":"article","venue":"Language and Linguistics Compass","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Comprehension; Perspective (graphical); Computer science; Context (archaeology); Production (economics); Linguistics; Probabilistic logic; Domain (mathematical analysis); Natural language processing; Range (aeronautics); Artificial intelligence; Cognitive psychology; Psychology; Mathematics; History; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004285782,0.0003952732,0.0004059718,0.0006820962,0.0004406432,0.002719419,0.0008448412,0.001391776,0.004342739],"category_scores_gemma":[0.03653111,0.0005125717,0.0005049904,0.0005684483,0.002842426,0.007029071,0.002178261,0.001498857,0.0007513074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000515588,"about_ca_system_score_gemma":0.0004064968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007679456,"about_ca_topic_score_gemma":0.0003057815,"domain_scores_codex":[0.9963428,0.002340217,0.0001055651,0.0004078578,0.0006873761,0.0001160951],"domain_scores_gemma":[0.9779855,0.01632947,0.001603461,0.002174316,0.001675208,0.000232048],"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":[0.000555357,0.0001673359,0.01182048,0.001299149,0.00009226707,0.002430178,0.1282369,0.003602324,0.1687916,0.4694514,0.005191907,0.2083611],"study_design_scores_gemma":[0.0002421365,0.001264268,0.06444436,0.000890739,0.0003106119,0.00679398,0.03655494,0.07965681,0.1218747,0.592828,0.09459636,0.0005430704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7136153,0.001130575,0.195709,0.002097167,0.0001475103,0.000138456,0.0002749836,0.001266166,0.08562081],"genre_scores_gemma":[0.9843746,0.0002586471,0.01314913,0.0001014539,0.0000326655,0.00002313083,0.0001285405,0.0002453881,0.001686464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004342739,"threshold_uncertainty_score":0.02266568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05213620191794151,"score_gpt":0.2977571732963214,"score_spread":0.2456209713783799,"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."}}