{"id":"W7082275587","doi":"10.48448/gdrz-g033","title":"SEPSIS: I Can Catch Your Lies -- A New Paradigm for Deception Detection","year":2025,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Deception; Social media; Fake news; Focus (optics); Multitude; Task (project management)","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"],"consensus_categories":[],"category_scores_codex":[0.0004231507,0.000270252,0.0002524593,0.000420318,0.0003282071,0.0002838028,0.001566746,0.0002410183,0.00008990321],"category_scores_gemma":[0.0002879112,0.0002530859,0.00007954174,0.001040704,0.0002347497,0.0001819672,0.0003049172,0.0001931859,0.00003033779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001327256,"about_ca_system_score_gemma":0.001302299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131771,"about_ca_topic_score_gemma":0.001436729,"domain_scores_codex":[0.9979594,0.00002103048,0.0002431997,0.0008991401,0.0003677382,0.000509531],"domain_scores_gemma":[0.9986845,0.00005834369,0.0002281528,0.0007283891,0.000137546,0.0001630881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001434106,0.0001496421,0.0001296258,0.0004423636,0.00009052885,0.000009673394,0.00120733,0.000997041,0.005651654,0.06732974,0.4388104,0.4851677],"study_design_scores_gemma":[0.0003955073,0.0001090492,0.00006634412,0.0002423694,0.00003219432,0.00001630882,0.0001384489,0.04492265,0.00605894,0.05590088,0.8915504,0.0005669674],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00001400563,0.0002313134,0.8561946,0.007098306,0.00119255,0.0004365096,0.00001469483,0.0004880138,0.13433],"genre_scores_gemma":[0.02882609,0.00007521984,0.06822028,0.0007756389,0.0007480753,0.00007808174,0.00003120247,0.00003151664,0.9012139],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7879744,"threshold_uncertainty_score":0.9999921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02569172619734761,"score_gpt":0.2802826357877715,"score_spread":0.2545909095904239,"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."}}