{"id":"W4212983243","doi":"10.5539/ijel.v12n2p47","title":"The Analysis of Translated Hedges in Trump’s Political Speeches and Interviews","year":2022,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Mosul","keywords":"Politics; Phenomenon; Variety (cybernetics); Arabic; Sociology; Linguistics; Political science; Media studies; Law; Epistemology; Philosophy; Mathematics; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006670019,0.00007433781,0.0002174293,0.0003484707,0.0001007121,0.0001323997,0.0005685449,0.00001551479,0.0003225069],"category_scores_gemma":[0.005430722,0.00005450461,0.0001331824,0.00009110713,0.0002434047,0.0000478271,0.00009460315,0.0002878812,2.320562e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005947805,"about_ca_system_score_gemma":0.00006846738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001048345,"about_ca_topic_score_gemma":0.0008318851,"domain_scores_codex":[0.9986871,0.0001569727,0.0006175109,0.00006312593,0.0003677154,0.0001075387],"domain_scores_gemma":[0.9955944,0.0005520046,0.0003289465,0.0001305513,0.003358365,0.00003566279],"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":[0.00009869041,0.0001640949,0.001491047,0.000006703148,0.001081372,0.00002081304,0.05068833,0.0003805181,0.000004099442,0.9434948,0.001013045,0.001556503],"study_design_scores_gemma":[0.0006984776,0.0001228199,0.002664035,0.00003947399,0.0004553867,0.000003286307,0.09544444,0.0006439873,0.00007466191,0.01687929,0.8828341,0.0001400169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6756234,0.0105392,0.00007230703,0.002870921,0.0171513,0.0002228112,0.0005819944,0.0000373637,0.2929007],"genre_scores_gemma":[0.998373,0.0001249382,0.00008716271,0.00009177712,0.001161241,0.000002049583,0.00001339597,0.000006869333,0.000139554],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9266155,"threshold_uncertainty_score":0.6501473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04707919149308578,"score_gpt":0.3242515459225508,"score_spread":0.2771723544294651,"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."}}