{"id":"W2093660835","doi":"10.1371/journal.pone.0040259","title":"The Eyes Don’t Have It: Lie Detection and Neuro-Linguistic Programming","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lie detection; Lying; Eye movement; Deception; Psychology; Cognitive psychology; Linguistics; Artificial intelligence; Computer science; Social psychology; Philosophy; Medicine","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":[0.003491533,0.0002345183,0.0003309431,0.001137884,0.0005104878,0.002443119,0.000706418,0.0007868932,0.001701869],"category_scores_gemma":[0.02982958,0.0002801805,0.0002461361,0.0006830905,0.004515064,0.003891051,0.001805584,0.001075526,0.0001655115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005616192,"about_ca_system_score_gemma":0.0005340699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00156229,"about_ca_topic_score_gemma":0.0008439992,"domain_scores_codex":[0.9980919,0.0009856507,0.00009734546,0.0003109256,0.0003737547,0.0001404354],"domain_scores_gemma":[0.9840609,0.01148988,0.00252469,0.0009330242,0.0007482503,0.0002431814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003186313,0.0004379012,0.3257578,0.001176235,0.0002500806,0.003287591,0.09546633,0.00414821,0.06289709,0.1212814,0.001027383,0.3810836],"study_design_scores_gemma":[0.0001120569,0.001020406,0.6039787,0.0006865446,0.0002972219,0.006447524,0.06358944,0.03664638,0.02643657,0.2550004,0.005459625,0.0003252106],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711647,0.0008872935,0.01339419,0.001741538,0.000021575,0.00002661836,0.00003450491,0.00002840338,0.01270122],"genre_scores_gemma":[0.9975368,0.000159711,0.001830384,0.00009908759,0.000008948287,0.00001180273,0.00001402839,0.00000864238,0.0003307348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003491533,"threshold_uncertainty_score":0.01846522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0679032569627351,"score_gpt":0.3097153152351446,"score_spread":0.2418120582724095,"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."}}