{"id":"W3125727712","doi":"10.46298/jdmdh.21","title":"Deception in Speeches of Candidates for Public Office","year":2015,"lang":"en","type":"article","venue":"Journal of Data Mining & Digital Humanities","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Queen's University","funders":"","keywords":"Deception; Persona; Subconscious; Perception; Psychology; Presidential system; Skepticism; Social psychology; Perspective (graphical); Politics; Cognitive psychology; Computer science; Political science; Epistemology; Artificial intelligence; Human–computer interaction; Law; Philosophy","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":[0.004607094,0.0003338362,0.0003832854,0.001729433,0.001234027,0.002808438,0.0004534567,0.001306343,0.003947326],"category_scores_gemma":[0.07143185,0.0002165201,0.000227593,0.001489969,0.0009824529,0.002011767,0.001515619,0.001586948,0.001469235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007924659,"about_ca_system_score_gemma":0.0003284108,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001717439,"about_ca_topic_score_gemma":0.002195413,"domain_scores_codex":[0.9941618,0.003160549,0.000540877,0.0004992829,0.00135543,0.0002820908],"domain_scores_gemma":[0.911198,0.06038071,0.01783556,0.004334404,0.005262882,0.0009885055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004299632,0.0006452367,0.3631485,0.001738342,0.0005071181,0.004045389,0.2133336,0.003767809,0.03607497,0.03449016,0.02357632,0.314373],"study_design_scores_gemma":[0.00007170084,0.0006686884,0.7590351,0.001005746,0.0002496429,0.002680535,0.06329352,0.02427828,0.01825902,0.02030988,0.1097199,0.0004281602],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972235,0.001364477,0.007427953,0.002473221,0.0005265017,0.00006066309,0.001063305,0.00006896571,0.01477979],"genre_scores_gemma":[0.9925175,0.000398351,0.001870563,0.0003021191,0.000338374,0.00004679912,0.0006066876,0.00003702391,0.003882627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004607094,"threshold_uncertainty_score":0.02436495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3966178400552383,"score_gpt":0.3990141504154591,"score_spread":0.002396310360220755,"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."}}