{"id":"W269122516","doi":"10.1017/cbo9780511750946.009","title":"Liar liar! Pants on fire: Detecting the trustworthiness of children's statements","year":2010,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Trustworthiness; Psychology; Computer security; Social psychology; Computer science","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":[0.003446428,0.0003333083,0.0003124192,0.00155534,0.0007215888,0.001713444,0.0005467187,0.0006897742,0.003613456],"category_scores_gemma":[0.03418115,0.0003962868,0.0002875817,0.0009167333,0.0006140723,0.001949302,0.001688111,0.001023024,0.001154903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008942551,"about_ca_system_score_gemma":0.0009133657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01097456,"about_ca_topic_score_gemma":0.01615569,"domain_scores_codex":[0.9980012,0.000604127,0.0001990633,0.0002926342,0.0007322531,0.0001707561],"domain_scores_gemma":[0.9826679,0.007801678,0.005222775,0.0007277964,0.002799732,0.0007800934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005258662,0.0001265289,0.8034888,0.0004342734,0.0001177574,0.00142039,0.07413904,0.0004775607,0.006336711,0.003005542,0.00909402,0.1008335],"study_design_scores_gemma":[0.00004931537,0.0003267769,0.883809,0.0007385785,0.0002363506,0.002704535,0.06135996,0.006428378,0.007834079,0.003747924,0.03258535,0.0001797161],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779373,0.0008058854,0.004064762,0.0005226708,0.00004587102,0.0001531721,0.0007047065,0.0002195971,0.01554613],"genre_scores_gemma":[0.9821585,0.0007170225,0.01245394,0.0001835207,0.00002283537,0.0002285818,0.0007182668,0.00005433338,0.003462941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01097456,"threshold_uncertainty_score":0.02182138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02928171659707849,"score_gpt":0.2747903068753316,"score_spread":0.2455085902782531,"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."}}