{"id":"W2148398991","doi":"10.1037/h0093929","title":"Cry me a river: Identifying the behavioral consequences of extremely high-stakes interpersonal deception.","year":2011,"lang":"en","type":"article","venue":"Law and Human Behavior","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Deception; Psychology; Covert; Social psychology; Sadness; Sincerity; Interpersonal communication; Anger; Construal level theory; Context (archaeology); Cognitive psychology; Linguistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0001637045,0.0001588442,0.0002140431,0.000093351,0.0002852386,0.00003030181,0.0002100806,0.0001350459,0.01248764],"category_scores_gemma":[0.000001897983,0.0001230859,0.0001073493,0.00007684207,0.002098143,0.0001178362,0.0000414069,0.0002070771,0.0001232764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001414319,"about_ca_system_score_gemma":0.000006340523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002508421,"about_ca_topic_score_gemma":0.000973287,"domain_scores_codex":[0.9988431,0.0001188817,0.0003473905,0.0003165475,0.0001461738,0.0002279292],"domain_scores_gemma":[0.9993468,0.00002131141,0.0001708941,0.0003118043,0.0000715901,0.00007758142],"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":[0.0002817518,0.001257358,0.06310926,0.0000147228,0.0001082989,0.00009917965,0.04005135,2.761536e-8,0.05800233,0.8186287,0.002714954,0.01573211],"study_design_scores_gemma":[0.00176232,0.0009128219,0.9690145,0.00003989205,0.0003797293,0.0003767597,0.01094418,2.672613e-7,0.003186345,0.008110594,0.004868114,0.0004044457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832126,0.000132604,0.0000962756,0.00003556438,0.001183794,0.000203536,0.00003111089,0.00006662753,0.01503784],"genre_scores_gemma":[0.9968055,0.000006363563,0.000242915,0.0002869676,0.0000727588,0.00009253681,0.00000949533,0.00001644059,0.002467044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9059052,"threshold_uncertainty_score":0.9884151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369702088901678,"score_gpt":0.3601460226171145,"score_spread":0.2231758137269466,"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."}}