{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006751877,0.00006528913,0.0001483487,0.00007518504,0.00009217321,0.00005466194,0.0001640375,0.00008577336,0.0001746699],"category_scores_gemma":[0.0001260584,0.00005171262,0.00004104808,0.00007243789,0.0000800602,0.0001374935,0.00006597672,0.0003227943,0.00001296052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001179022,"about_ca_system_score_gemma":0.000005695115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001009401,"about_ca_topic_score_gemma":0.000008121168,"domain_scores_codex":[0.9992253,0.0001852906,0.0003201208,0.00007233682,0.00009839201,0.00009851744],"domain_scores_gemma":[0.9991302,0.0002632082,0.0002203552,0.0002298428,0.00009229316,0.00006408693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009583138,0.0003937287,0.004940066,0.00004932202,0.0001439391,0.00002828428,0.005094311,3.902682e-7,0.05005464,0.04489759,0.007239127,0.8870628],"study_design_scores_gemma":[0.00801414,0.00201632,0.7692533,0.001440612,0.000723809,0.007454161,0.1071399,0.0003247585,0.004672054,0.08041232,0.01724851,0.001300162],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964356,0.0117165,0.0004877098,0.001670678,0.00003476756,0.00009662032,0.000001412287,0.0000332862,0.02160301],"genre_scores_gemma":[0.9949535,0.0004648831,0.004039806,0.0002798327,0.00006386403,0.000009976357,0.000003063512,0.000007629046,0.0001774959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8857626,"threshold_uncertainty_score":0.210878,"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."}}