{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003636261,0.0006022229,0.001303409,0.001903705,0.001095005,0.002939879,0.001149782,0.001790878,0.002373039],"category_scores_gemma":[0.02178984,0.0004698309,0.0005413232,0.0007179268,0.000712277,0.002673166,0.002071991,0.001009004,0.003047931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005123795,"about_ca_system_score_gemma":0.001202559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008389197,"about_ca_topic_score_gemma":0.001097762,"domain_scores_codex":[0.9934058,0.002460383,0.0002715508,0.0009929534,0.002467889,0.0004012831],"domain_scores_gemma":[0.9800538,0.006371544,0.003555957,0.004486054,0.004900855,0.0006317265],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002157373,0.00164311,0.02784093,0.0005777018,0.0003180165,0.0009477105,0.001095735,0.02072333,0.07226503,0.02321406,0.01732047,0.8318966],"study_design_scores_gemma":[0.00007949746,0.0009312183,0.01053888,0.00006508399,0.0001509145,0.001533724,0.0003863118,0.8935968,0.06897186,0.01397779,0.009646552,0.0001213854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3214761,0.001289972,0.655082,0.001304018,0.0005773858,0.000652468,0.0005451116,0.004707717,0.01436511],"genre_scores_gemma":[0.8934214,0.0001992638,0.09889759,0.000157114,0.0002251351,0.00007955063,0.0002482132,0.00008640798,0.006685363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9963638,"threshold_uncertainty_score":0.0192306,"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."}}