{"id":"W4385754360","doi":"10.1016/j.bushor.2023.08.002","title":"Fighting fake reviews: Authenticated anonymous reviews using identity verification","year":2023,"lang":"en","type":"article","venue":"Business Horizons","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Sophistication; Extant taxon; Identity (music); Credibility; Internet privacy; Realm; Commission; Identity theft; Anonymity; Computer science; Computer security; Business; Political science; Sociology; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00125552,0.000174369,0.0002931275,0.0002510365,0.0003978707,0.0003658741,0.0006975356,0.0000861047,0.00002313865],"category_scores_gemma":[0.0006987471,0.0001617684,0.00009684117,0.004539228,0.00003093257,0.001563856,0.0001876166,0.000131684,0.001061519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007242431,"about_ca_system_score_gemma":0.00005598613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001420578,"about_ca_topic_score_gemma":0.00002624494,"domain_scores_codex":[0.9983171,0.0001852376,0.0004636644,0.0004698236,0.0002526759,0.0003115229],"domain_scores_gemma":[0.9986377,0.0000499471,0.0002777045,0.0007832979,0.0001797821,0.00007151284],"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":[0.000022143,0.0003237496,0.002411155,0.001531366,0.00007385202,0.00008099277,0.003520854,0.0006146217,0.2655654,0.04175621,0.03260034,0.6514993],"study_design_scores_gemma":[0.0006894886,0.00008910158,0.08081303,0.00143223,0.0001688323,0.0001074237,0.00005370643,0.1756444,0.004327365,0.006370706,0.7288437,0.001460032],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09760807,0.003201022,0.8917189,0.0009754227,0.003786396,0.0008634798,0.000005346361,0.001234657,0.0006066692],"genre_scores_gemma":[0.9378654,0.01241708,0.0454987,0.0003494701,0.001672055,0.00028623,0.0001457806,0.0001021624,0.001663078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8462203,"threshold_uncertainty_score":0.9997163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08693725122272053,"score_gpt":0.3161134243092313,"score_spread":0.2291761730865108,"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."}}