{"id":"W32130154","doi":"10.2196/14566","title":"An EDA Primer for Polygraph Examiners","year":2010,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Polygraph; Psychology; Social psychology; Deception; Cognitive psychology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000285332,0.0001266587,0.0001612744,0.0001455404,0.0001849201,0.00001292196,0.0001426962,0.000137094,0.003308982],"category_scores_gemma":[0.000003027586,0.000120813,0.00007567825,0.0001352498,0.0001277341,0.00006408972,0.000009351213,0.0002295461,0.0004285836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003079334,"about_ca_system_score_gemma":0.00003181599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00015563,"about_ca_topic_score_gemma":0.0002771568,"domain_scores_codex":[0.9988131,0.00007164026,0.0002556177,0.0003615219,0.00009813773,0.0003999684],"domain_scores_gemma":[0.9991431,0.00002118963,0.0001101522,0.0004209291,0.00002261688,0.0002820072],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001015844,0.001768575,0.005663022,0.00003361031,0.00007365744,0.000002572454,0.009262562,1.16043e-7,0.0493914,0.02157513,0.2917148,0.6194987],"study_design_scores_gemma":[0.002888082,0.001944106,0.1381612,0.000005433428,0.000003677419,0.0001283373,0.002295907,0.00001785692,0.0004758486,0.0005280509,0.8532988,0.0002526887],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9638129,0.00004914497,0.0005138697,0.002492498,0.01169751,0.001199354,0.00007920698,0.0002247488,0.01993077],"genre_scores_gemma":[0.9831946,0.000004397632,0.001936277,0.006854855,0.0004602741,0.0003036846,0.0001045003,0.00003286491,0.00710855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.619246,"threshold_uncertainty_score":0.9976021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697951704815508,"score_gpt":0.4218124601439832,"score_spread":0.3948329430958281,"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."}}