{"id":"W3163823537","doi":"10.4018/ijban.2021070101","title":"A New Approach for Deception Detection in Open Domain Text","year":2021,"lang":"en","type":"article","venue":"International Journal of Business Analytics","topic":"Authorship Attribution and Profiling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Deception; Computer science; Classifier (UML); Open domain; Artificial intelligence; Domain (mathematical analysis); The Internet; Feature (linguistics); Open research; Support vector machine; Machine learning; Natural language processing; World Wide Web; Psychology; Linguistics; Mathematics; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0007476215,0.0000726785,0.0001596043,0.0002402685,0.00003773672,0.0004103825,0.0009525546,0.0000566199,0.00003125672],"category_scores_gemma":[0.0003069356,0.00006922487,0.00007923065,0.0006224387,0.000009150416,0.0007681479,0.0001996799,0.0001271674,0.000003825881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001661807,"about_ca_system_score_gemma":0.0004281484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002579524,"about_ca_topic_score_gemma":0.0000397834,"domain_scores_codex":[0.9989382,0.00005359299,0.0004196432,0.0001523359,0.0003290478,0.0001071722],"domain_scores_gemma":[0.9979744,0.00007277251,0.0003115209,0.0001221525,0.001457005,0.00006217296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005285895,0.0006600534,0.005421146,0.00005417596,0.0003985321,0.000288012,0.001327352,0.06568705,0.0134884,0.1454244,0.001806545,0.7649157],"study_design_scores_gemma":[0.008173272,0.0001287359,0.03990726,0.00034478,0.0000697491,0.001752797,0.0008374845,0.7468876,0.02468518,0.1291352,0.0474113,0.0006666071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003815053,0.00005763943,0.9919842,0.002837435,0.0007923238,0.00006883066,0.000002255256,0.000005895604,0.0004363934],"genre_scores_gemma":[0.6523582,0.00003842688,0.3466013,0.0002374224,0.0003379111,0.000002298113,0.00001029298,0.000005678147,0.0004084722],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7642491,"threshold_uncertainty_score":0.3957328,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06034089764662857,"score_gpt":0.3360110331891855,"score_spread":0.2756701355425569,"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."}}