{"id":"W2147034585","doi":"10.1080/07359683.2014.907117","title":"Literally Experts: Expertise and the Processing of Analogical Metaphors in Pharmaceutical Advertising","year":2014,"lang":"en","type":"article","venue":"Health Marketing Quarterly","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Saskatchewan","funders":"","keywords":"Metaphor; Point (geometry); Contrast (vision); Process (computing); Advertising; Psychology; Computer science; Cognitive psychology; Business; Artificial intelligence; Linguistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002441111,0.0003254327,0.000311723,0.0008248428,0.0002861753,0.001715672,0.0003536902,0.001090179,0.005248634],"category_scores_gemma":[0.04697214,0.0002954066,0.0002823922,0.0002296072,0.001078787,0.003820765,0.001202907,0.001508777,0.0004351302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229829,"about_ca_system_score_gemma":0.0002638632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004081281,"about_ca_topic_score_gemma":0.0003517024,"domain_scores_codex":[0.9985881,0.0005398254,0.00008794004,0.0002176275,0.0004624695,0.0001039811],"domain_scores_gemma":[0.9680946,0.0254886,0.003418403,0.001217401,0.0009263639,0.0008545608],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005441944,0.006139321,0.2576357,0.001686233,0.0003620205,0.002731456,0.07871184,0.003346269,0.3530495,0.008872103,0.001795148,0.2802284],"study_design_scores_gemma":[0.0004551959,0.007303476,0.8647193,0.0003881481,0.0003164031,0.009480956,0.02486449,0.01548033,0.03668983,0.03460526,0.005400855,0.0002958149],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954692,0.0001874532,0.001109368,0.00009736041,0.000009569639,0.00001670978,0.000007429651,0.000006730283,0.003096099],"genre_scores_gemma":[0.9975784,0.0002077395,0.00125415,0.0001399443,0.00001860907,0.00001094226,0.00002606675,0.000007261056,0.0007568746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005248634,"threshold_uncertainty_score":0.01755846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02175136381477685,"score_gpt":0.3428578660106342,"score_spread":0.3211065021958573,"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."}}