{"id":"W2030867710","doi":"10.1111/j.1756-8765.2012.01184.x","title":"Underspecification of Cognitive Status in Reference Production: Some Empirical Predictions","year":2012,"lang":"en","type":"article","venue":"Topics in Cognitive Science","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Underspecification; Referent; Salience (neuroscience); Hierarchy; Cognition; Cognitive psychology; Psychology; Psycholinguistics; Linguistics; Computer science; Cognitive science; Natural language processing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066092,0.000101607,0.0001501373,0.0004459279,0.00009703333,0.00004523855,0.0003971146,0.00006051209,0.00001082092],"category_scores_gemma":[0.001694098,0.00009890996,0.0000205596,0.002033583,0.0005524707,0.001735373,0.000154206,0.0002068502,0.00002718283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825732,"about_ca_system_score_gemma":0.0003920778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008629053,"about_ca_topic_score_gemma":0.00007064952,"domain_scores_codex":[0.9981494,0.00010702,0.0003191944,0.0004468194,0.0004839392,0.000493639],"domain_scores_gemma":[0.9988818,0.0002435342,0.0001180783,0.0002482571,0.0003706756,0.0001376821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006493321,0.001227913,0.774936,0.00004055177,0.00001024114,0.000007753281,0.02269332,0.00003294092,0.001951031,0.1615919,0.000138382,0.03730513],"study_design_scores_gemma":[0.000510103,0.0001077535,0.9767501,0.0002011519,0.000004041489,0.00001085939,0.002909085,0.0006561715,0.01030395,0.008236906,0.0001235122,0.0001863269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9071861,0.0004566965,0.06156304,0.0008692687,0.001888191,0.000738473,0.00002080097,0.00007958321,0.02719788],"genre_scores_gemma":[0.9980831,0.00004366034,0.001457403,0.00007757258,0.000189612,0.00004195422,0.000004658071,0.000002928663,0.00009907761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2018142,"threshold_uncertainty_score":0.4033431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1492868215575263,"score_gpt":0.3738790549075488,"score_spread":0.2245922333500225,"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."}}