{"id":"W2480129233","doi":"10.24385/lincoln.24325519","title":"A holistic, risk, and futures based approach to deception: technological convergence and emerging patterns of conflict","year":2016,"lang":"en","type":"dissertation","venue":"Lincoln Repository (University of Lincoln)","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of California, San Diego; University of Colombo; Univerza v Ljubljani; Universitas Gadjah Mada; Universidade do Porto; Université de Genève; Universidad de Chile; University of Haifa; Macquarie University; University of Ghana; Athens University of Economics and Business; University of Mauritius; Universiti Malaysia Sabah; Universität Wien; Tartu Ülikool; Ege Üniversitesi; Universidad Nacional de San Luis; Chonnam National University; University of Cyprus; University of Capetown; Universitetet i Oslo; Klaipedos Universitetas; McGill University; North Carolina Central University; University of Canterbury; Yarmouk University; Jihočeská Univerzita v Českých Budějovicích; Texas Christian University; Kuwait University; Universidad Nacional de Colombia","keywords":"Deception; Context (archaeology); Interpersonal communication; Psychology; Mindset; Social psychology; Computer science; Artificial intelligence","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002963002,0.0002977327,0.0006284756,0.0004780592,0.0003297349,0.00001390438,0.0003143699,0.0008601656,0.0004969212],"category_scores_gemma":[0.00004781963,0.0003111075,0.0001579919,0.0002521619,0.0004030839,0.00006915516,0.00007448778,0.0004324507,0.00002296345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004839848,"about_ca_system_score_gemma":0.00005610439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004219097,"about_ca_topic_score_gemma":0.000151628,"domain_scores_codex":[0.9980474,0.0002680164,0.0004115228,0.000765299,0.0002596347,0.0002481755],"domain_scores_gemma":[0.998143,0.0001556304,0.0007493401,0.000493084,0.0002589595,0.0001999758],"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":[0.01904346,0.004027655,0.2785563,0.003152465,0.002696094,0.0006286494,0.06373097,0.0001020303,0.03141372,0.02222912,0.01461624,0.5598032],"study_design_scores_gemma":[0.005197882,0.001403692,0.8714634,0.000595221,0.0006993653,0.0001886466,0.07257686,0.0003631209,0.001071784,0.0002698931,0.04494368,0.001226433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525287,0.0004584113,0.01934466,0.00008872491,0.00218303,0.0006888925,0.0001479298,0.0001309323,0.02442871],"genre_scores_gemma":[0.9830656,0.0001939019,0.001669705,0.00004975049,0.0001389692,0.000009209507,0.00005515324,0.00002614163,0.01479154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5929071,"threshold_uncertainty_score":0.9999341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01968716741845325,"score_gpt":0.2768436476298864,"score_spread":0.2571564802114332,"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."}}