{"id":"W4247105647","doi":"10.32920/ryerson.14666367","title":"Would You Lie For Me? : Alibi Corroboration Between Strangers And Non-Strangers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Alibi; Psychology; Suspect; Friendship; Social psychology; Session (web analytics); Test (biology); Witness; Feeling; Criminology; Computer science; Political science; Law","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":[0.005790263,0.0001953652,0.00037168,0.0006738137,0.001097472,0.001462847,0.0003232515,0.001051342,0.002659302],"category_scores_gemma":[0.05057316,0.0002489024,0.0002184844,0.0002332686,0.001928283,0.00124386,0.001584081,0.001082654,0.0003880533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003125717,"about_ca_system_score_gemma":0.0002485844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008931698,"about_ca_topic_score_gemma":0.0009259387,"domain_scores_codex":[0.9963182,0.002500538,0.0002457466,0.0003036181,0.0004322961,0.000199539],"domain_scores_gemma":[0.9635177,0.02280986,0.008896764,0.002230204,0.0009901065,0.001555366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005899116,0.001262884,0.7844331,0.0003857143,0.0002543663,0.004024256,0.1334944,0.0002297567,0.01707481,0.003170992,0.0007048184,0.04906576],"study_design_scores_gemma":[0.0001225552,0.004201939,0.8240646,0.000323389,0.0002447112,0.01828271,0.1320484,0.001935667,0.01134731,0.002957199,0.004330637,0.0001408398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990632,0.00007883231,0.0001271494,0.00007218746,0.000005294052,0.000008431246,0.00000773584,0.00000160086,0.0006356293],"genre_scores_gemma":[0.9996687,0.00005311154,0.0001087685,0.00002694166,0.000003624696,0.000005366777,0.00001001469,8.701528e-7,0.0001225753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005790263,"threshold_uncertainty_score":0.03062218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05664592933082001,"score_gpt":0.3583361668903763,"score_spread":0.3016902375595563,"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."}}