{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001972226,0.0009499762,0.001139994,0.007005753,0.001117658,0.00258132,0.001097182,0.001617173,0.001799473],"category_scores_gemma":[0.01026481,0.0003203572,0.0007278787,0.003034378,0.0008561759,0.003451109,0.001296467,0.002066771,0.002398799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007006765,"about_ca_system_score_gemma":0.0008355483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115961,"about_ca_topic_score_gemma":0.001108243,"domain_scores_codex":[0.9955611,0.000882188,0.0004264227,0.0009443052,0.001937915,0.0002480688],"domain_scores_gemma":[0.9906244,0.003375851,0.001329091,0.001341306,0.002998082,0.0003312619],"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":[0.0006421857,0.0007186216,0.01661357,0.0004212935,0.0001780381,0.0009087235,0.001242131,0.005668823,0.07386996,0.008884999,0.007608945,0.8832427],"study_design_scores_gemma":[0.00005466504,0.0005668679,0.02678099,0.0001537566,0.0001968102,0.003812181,0.001284341,0.839184,0.08289489,0.01820083,0.02666884,0.0002017774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1116922,0.001955021,0.8712896,0.001091375,0.0007471374,0.0008016172,0.001302894,0.00392251,0.007197718],"genre_scores_gemma":[0.574752,0.0007932693,0.4122396,0.0002611383,0.0005470471,0.0004036587,0.001361396,0.0001366813,0.009505247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007005753,"threshold_uncertainty_score":0.01043028,"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."}}