{"id":"W2322893328","doi":"10.2190/tw.43.2.d","title":"Metonymy and Plain Language","year":2013,"lang":"en","type":"article","venue":"Journal of Technical Writing and Communication","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metonymy; Linguistics; Meaning (existential); Element (criminal law); Insider; Computer science; Process (computing); Epistemology; Metaphor; Philosophy; Political science","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":[0.001944616,0.0004180853,0.000386868,0.001630601,0.00179667,0.004808456,0.0006947585,0.001384303,0.005438625],"category_scores_gemma":[0.009911353,0.0003026169,0.0003026674,0.00119227,0.01421083,0.01475658,0.003940627,0.002035005,0.0009473988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001142755,"about_ca_system_score_gemma":0.001009729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005801603,"about_ca_topic_score_gemma":0.0004618506,"domain_scores_codex":[0.9963714,0.00208481,0.0002790493,0.0004760805,0.0005961176,0.0001925864],"domain_scores_gemma":[0.9945745,0.002802443,0.0008256197,0.0008498616,0.0006808879,0.0002666164],"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":[0.00004725326,0.00001295112,0.0004778021,0.0001477523,0.000009279799,0.0003447527,0.01657981,0.0001299208,0.001386014,0.9622454,0.002481428,0.01613769],"study_design_scores_gemma":[0.00002852401,0.00006344856,0.001435802,0.0002431223,0.00001489494,0.002107712,0.009904185,0.0007610253,0.001224138,0.8190171,0.1651584,0.00004164794],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2213897,0.02566899,0.1857477,0.02623451,0.001853527,0.0001336875,0.0003247237,0.000588502,0.5380587],"genre_scores_gemma":[0.9630333,0.002137937,0.02036807,0.0012235,0.0003679378,0.00007507136,0.0001154721,0.0001594544,0.01251934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005438625,"threshold_uncertainty_score":0.01819402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01702762444702671,"score_gpt":0.3131613181820352,"score_spread":0.2961336937350085,"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."}}