{"id":"W1590137324","doi":"","title":"A Contrastive Study of Political Speeches in Presidential Election of Interpersonal Meaning","year":2013,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interpersonal communication; Meaning (existential); Modality (human–computer interaction); Personal pronoun; Mood; Social psychology; Psychology; Politics; Presidential election; Presidential system; Perspective (graphical); Linguistics; Political science; Law; Computer science; Philosophy; Psychotherapist","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":[0.001675467,0.0002523611,0.0003415289,0.001296871,0.001788291,0.002482986,0.0003191659,0.0005587589,0.003234488],"category_scores_gemma":[0.01705661,0.0001539285,0.0001454132,0.001077449,0.001661051,0.001848588,0.001367928,0.001393904,0.000354232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008936857,"about_ca_system_score_gemma":0.0002492701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001705826,"about_ca_topic_score_gemma":0.002219175,"domain_scores_codex":[0.9983236,0.001117193,0.0000608888,0.0001547157,0.0002416677,0.0001017692],"domain_scores_gemma":[0.988967,0.009119661,0.0006958293,0.0002933396,0.0006844874,0.0002396679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001714222,0.0005630433,0.04536815,0.0006430019,0.00008157935,0.001999934,0.7774298,0.0002896379,0.08306906,0.04739447,0.002111501,0.0393356],"study_design_scores_gemma":[0.0001463452,0.001136606,0.4416124,0.0003022656,0.0001127871,0.002709389,0.4577858,0.002954523,0.01925948,0.007918031,0.06593453,0.0001278023],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777237,0.0002351901,0.0007869715,0.0002127014,0.00006200143,0.00002256001,0.00005664795,0.000009010762,0.02089125],"genre_scores_gemma":[0.9980944,0.00007188811,0.0003192156,0.0000471769,0.00005092839,0.00002213388,0.00004354034,0.00001585704,0.001334911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003234488,"threshold_uncertainty_score":0.01082039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746385588553781,"score_gpt":0.3045581322717287,"score_spread":0.2870942763861909,"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."}}