{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094196,0.00006013961,0.0001762066,0.0001946278,0.00006190549,0.0002610555,0.0005383425,0.00004293335,0.00001895211],"category_scores_gemma":[0.002595684,0.00005437464,0.0000320006,0.00009754,0.0002599061,0.003507979,0.00006352877,0.00007055189,0.00000383729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006611968,"about_ca_system_score_gemma":0.000632474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002796211,"about_ca_topic_score_gemma":0.002319005,"domain_scores_codex":[0.9989525,0.0000359228,0.0004019192,0.00006853428,0.0003457196,0.0001953833],"domain_scores_gemma":[0.9986801,0.0004193857,0.0003280142,0.0001352952,0.0003443264,0.00009289389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004599814,0.0006912299,0.2761371,0.0003100445,0.0002199295,0.00005648406,0.3427959,0.00001449666,0.00007691305,0.1130466,0.1342027,0.1319887],"study_design_scores_gemma":[0.0009583226,0.0005395809,0.001859426,0.0003034534,0.00003848581,0.00001567626,0.2591229,0.000040027,0.0001289653,0.006020803,0.7307523,0.000220041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780607,0.0002446524,0.0000554257,0.0002579089,0.0003084891,0.0000728417,0.000272306,0.000006090516,0.02072161],"genre_scores_gemma":[0.9977703,0.00005511909,0.001104908,0.00006284551,0.0004948216,9.599231e-7,0.00006984954,0.000005947741,0.0004352189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5965497,"threshold_uncertainty_score":0.3107463,"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."}}