{"id":"W1481498172","doi":"10.37693/pjos.2007.1.8814","title":"A Visual Lexicon","year":2007,"lang":"en","type":"article","venue":"Public Journal of Semiotics","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lexicon; Computer science; Natural language processing; Visual language; Comics; Artificial intelligence; Representation (politics); Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0005019899,0.0005470018,0.0004860969,0.00344359,0.002034078,0.008805759,0.001293107,0.001568392,0.04943338],"category_scores_gemma":[0.003880563,0.0005995531,0.0006791011,0.002978222,0.002284808,0.00864073,0.002802782,0.001772345,0.02236268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214064,"about_ca_system_score_gemma":0.002969972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005656869,"about_ca_topic_score_gemma":0.004755753,"domain_scores_codex":[0.9993587,0.0001402049,0.00009665353,0.0001553453,0.0001711761,0.00007791894],"domain_scores_gemma":[0.9986979,0.0002956068,0.00007837559,0.0003040213,0.0004902284,0.0001338272],"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":[0.00006700684,0.00004122443,0.0006739499,0.0003389035,0.00001481528,0.0003888704,0.002756724,0.0004455157,0.004363456,0.7554979,0.1097045,0.1257072],"study_design_scores_gemma":[0.00001610507,0.00001870614,0.0008499958,0.0001903617,0.00001053766,0.0009043076,0.001246632,0.001438226,0.0009086768,0.1684908,0.8258939,0.00003179698],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01168968,0.002860144,0.1460734,0.005858005,0.001320662,0.0004381132,0.01363204,0.007003283,0.8111247],"genre_scores_gemma":[0.452006,0.006230958,0.210746,0.003696832,0.001181855,0.001035467,0.0327786,0.005097813,0.2872263],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04943338,"threshold_uncertainty_score":0.1653711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03146019052041074,"score_gpt":0.3373748725425789,"score_spread":0.3059146820221682,"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."}}