{"id":"W4233166695","doi":"10.32920/ryerson.14666304","title":"When do people lie, for whom, and why? : Altruistic lying in an alibi corroboration context","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Alibi; Suspect; Psychology; Witness; Context (archaeology); Lying; Social psychology; Criminology; Law; Political 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004306117,0.0002992957,0.0005469539,0.000323368,0.0001054116,0.0003002041,0.000180459,0.0006553963,0.005914522],"category_scores_gemma":[0.0001144382,0.0003212389,0.0001036617,0.0001401306,0.0001169421,0.0001138492,0.0001359654,0.0004981699,0.0000687614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006550376,"about_ca_system_score_gemma":0.00007935816,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007062466,"about_ca_topic_score_gemma":0.01905322,"domain_scores_codex":[0.9976658,0.0002812697,0.0005774911,0.001015351,0.000122313,0.0003377752],"domain_scores_gemma":[0.9985391,0.0001787698,0.000231334,0.0006810182,0.0002265251,0.000143281],"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":[0.001786986,0.001580782,0.05600774,0.0005162359,0.0004446416,0.00009055356,0.09624798,0.0001666852,0.0008127432,0.07110973,0.2182797,0.5529562],"study_design_scores_gemma":[0.02483709,0.00293183,0.4025621,0.0009288694,0.0005421013,0.0007883082,0.1380146,0.01511138,0.0001731225,0.1099175,0.2988803,0.005312828],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7596382,0.0009865005,0.1944745,0.002342015,0.01484626,0.002012589,0.00009715919,0.0002958425,0.0253069],"genre_scores_gemma":[0.9892294,0.0000363735,0.0019679,0.002910874,0.0003016629,0.000494021,0.0003829507,0.00005159846,0.004625192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5476434,"threshold_uncertainty_score":0.9999239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05715750507368512,"score_gpt":0.3597600473213577,"score_spread":0.3026025422476726,"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."}}