{"id":"W1997233319","doi":"10.1075/ml.5.2.04pai","title":"Dual coding theory and the mental lexicon","year":2010,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":164,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Mental lexicon; Mental representation; Lexicon; Cognition; Coding (social sciences); Comprehension; Cognitive psychology; Perception; Psychology; Cognitive linguistics; Linguistics; Computer science; Cognitive science; Natural language processing; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001484893,0.0001730974,0.0001657954,0.00003633393,0.0004094951,0.00007947615,0.0002072188,0.00009151795,0.00285255],"category_scores_gemma":[0.00003193954,0.00009164019,0.00009038774,0.00007024543,0.0006509394,0.0000938692,0.0001054109,0.0003996209,0.0003828868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001799206,"about_ca_system_score_gemma":0.00001252296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001350709,"about_ca_topic_score_gemma":0.00009027863,"domain_scores_codex":[0.9986018,0.0004853837,0.0001925842,0.0002523592,0.0001873404,0.0002805355],"domain_scores_gemma":[0.9991742,0.0003164156,0.00009344365,0.0003463968,0.0000130407,0.0000564453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001352988,0.0001258574,0.0002569796,0.000006550067,0.0001613174,0.00001212373,0.03244673,3.563727e-8,0.06816389,0.8683231,0.00215131,0.02699905],"study_design_scores_gemma":[0.03520573,0.001002904,0.0266946,0.0001261469,0.001017538,0.002517323,0.1742001,0.0002036549,0.1814756,0.5167682,0.05890157,0.00188674],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9033462,0.0005238925,0.00003557581,0.001788749,0.002140566,0.0004926383,0.00003552544,0.0000636541,0.09157315],"genre_scores_gemma":[0.9918734,0.00002873214,0.00001957058,0.001867434,0.0004504204,0.00006188825,0.00003554099,0.00002343169,0.005639582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.351555,"threshold_uncertainty_score":0.998059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522384661390774,"score_gpt":0.2913894423444541,"score_spread":0.2761655957305464,"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."}}