{"id":"W2777339208","doi":"","title":"On-line Reference Assignment for Anaphoric and Non-Anaphoric Nouns: A Unified, Memory-Based Model in ACT-R - eScholarship","year":2007,"lang":"en","type":"article","venue":"Proceedings of the Annual Meeting of the Cognitive Science Society","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Referent; Antecedent (behavioral psychology); Noun; Proposition; Linguistics; Computer science; Proper noun; Noun phrase; Cognitive science; Psychology; Artificial intelligence; Philosophy; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005027901,0.0008472811,0.001318607,0.003338071,0.001860128,0.009944777,0.006779402,0.004088528,0.01195891],"category_scores_gemma":[0.0189273,0.00156274,0.002493389,0.003190843,0.005429464,0.02490195,0.004267045,0.00238,0.004312644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003366003,"about_ca_system_score_gemma":0.002092851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01292466,"about_ca_topic_score_gemma":0.006024969,"domain_scores_codex":[0.9958384,0.001502843,0.0003407235,0.0009959622,0.00101962,0.0003024272],"domain_scores_gemma":[0.9906063,0.003370866,0.0008749346,0.002451193,0.002051592,0.0006450643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001984917,0.0001279636,0.002495212,0.0001134831,0.00005932514,0.0003619542,0.00298212,0.02056856,0.001217814,0.9129117,0.003052233,0.05591128],"study_design_scores_gemma":[0.00006733913,0.0001252666,0.001380565,0.00007160451,0.00009361959,0.0005527129,0.000727995,0.2385559,0.001525184,0.7473366,0.009470135,0.00009317619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06346927,0.001527329,0.8582527,0.003786186,0.0002915038,0.0002132115,0.0004458124,0.0007601104,0.07125394],"genre_scores_gemma":[0.749411,0.0009967776,0.2140455,0.0004946862,0.0003772152,0.000298532,0.0007614109,0.0004502299,0.03316484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01292466,"threshold_uncertainty_score":0.04000652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03825501678868466,"score_gpt":0.3235939993050299,"score_spread":0.2853389825163453,"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."}}