{"id":"W6995731364","doi":"","title":"Pragmatic and Cultural Considerations for Deception Detection in Asian Languages","year":2014,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Deception; Task (project management); Pragmatics; Cultural diversity; Self-deception","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":[0.02055584,0.0004921167,0.0006016194,0.0022679,0.004635287,0.009053673,0.001406928,0.001240699,0.003653032],"category_scores_gemma":[0.0481656,0.0004170568,0.0005308156,0.001960773,0.01228533,0.01079855,0.004056069,0.004188202,0.000731563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002460017,"about_ca_system_score_gemma":0.002711824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008745363,"about_ca_topic_score_gemma":0.01538029,"domain_scores_codex":[0.9872729,0.009286376,0.001120648,0.0005515958,0.001167815,0.000600617],"domain_scores_gemma":[0.9677344,0.01891189,0.003992401,0.002357477,0.005994627,0.001009351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003138917,0.0001607814,0.07175876,0.001364357,0.0001538269,0.001940298,0.2751812,0.0008775668,0.008212695,0.5233697,0.006317806,0.1103491],"study_design_scores_gemma":[0.0000716846,0.000242576,0.07043716,0.004076733,0.000330937,0.004312607,0.4658028,0.01165809,0.01258311,0.3500193,0.08000778,0.0004571351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5601462,0.01133093,0.1172788,0.1109455,0.001215625,0.0002876347,0.0003463276,0.0001616409,0.1982874],"genre_scores_gemma":[0.9846815,0.001394636,0.009056299,0.003192905,0.0001642735,0.00007610181,0.00005709833,0.00004529186,0.00133189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02055584,"threshold_uncertainty_score":0.1087109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07720453477434373,"score_gpt":0.3647752365137495,"score_spread":0.2875707017394058,"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."}}