{"meta":{"query_hash":"682a0a8c21c2","filters":{"venue":"Linguistic Evidence in Security Law and Intelligence"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/682a0a8c21c2","api":"https://metacan.xera.ac/api/v1/cohort?venue=Linguistic+Evidence+in+Security+Law+and+Intelligence"},"results":[{"id":"W2062227671","doi":"10.5195/lesli.2013.1","title":"Extending Textual Models of Deception to Interrogation Settings","year":2013,"lang":"en","type":"article","venue":"Linguistic Evidence in Security Law and Intelligence","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Deception; Interrogation; Psychology; Linguistics; Social psychology; Computer science; Cognitive psychology; Philosophy; Political science","score_opus":0.06514139802343166,"score_gpt":0.3707034859902369,"score_spread":0.30556208796680523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062227671","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14085437,0.0011120092,0.83311677,0.0063020736,0.00019426114,0.00019519115,0.00041883625,0.0007552301,0.017051198],"genre_scores_gemma":[0.94340414,0.00037439365,0.051463537,0.00057328714,0.0002544566,0.00012990832,0.00028913896,0.000088407316,0.0034226973],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9959079,0.0029305404,0.00017873674,0.00044196402,0.0003856813,0.00015500953],"domain_scores_gemma":[0.94474894,0.044462275,0.004333021,0.0033607504,0.0024398712,0.00065513985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006067311,0.0009124007,0.0007480476,0.0017751338,0.00070596376,0.0037078552,0.0020585996,0.0023708595,0.0053552384],"category_scores_gemma":[0.06269076,0.0005335786,0.00097014103,0.0008641647,0.00230236,0.008519491,0.0021328796,0.0028089706,0.0011891809],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006526219,0.0007054194,0.01768593,0.0005086589,0.00028774675,0.0011771121,0.004587075,0.55619633,0.0051712585,0.28407702,0.0045083766,0.12444249],"study_design_scores_gemma":[0.000020503332,0.00005495575,0.00081454375,0.000033947337,0.00002199223,0.00007781055,0.00016214824,0.8878081,0.00049071584,0.10921399,0.0012774288,0.000023866673],"about_ca_topic_score_codex":0.0027000373,"about_ca_topic_score_gemma":0.0016418471,"teacher_disagreement_score":0.006067311,"about_ca_system_score_codex":0.0013972989,"about_ca_system_score_gemma":0.0006262512,"threshold_uncertainty_score":0.032087386},"labels":[],"label_agreement":null}]}