{"id":"W1804563568","doi":"10.2139/ssrn.2293164","title":"Fake it Till You Make it: Reputation, Competition, and Yelp Review Fraud","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":294,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Competition (biology); Business; Reputation; Internet privacy; Reputation management; Social media; Advertising; Computer science; World Wide Web; Political science; Law","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":[0.01174535,0.0002578938,0.0007597049,0.003495384,0.002788699,0.005653611,0.001063043,0.003508484,0.01015708],"category_scores_gemma":[0.1080205,0.0003385744,0.000476886,0.003455456,0.002678118,0.00477534,0.001665484,0.002934583,0.001657854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396715,"about_ca_system_score_gemma":0.002025994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009082372,"about_ca_topic_score_gemma":0.01215999,"domain_scores_codex":[0.994258,0.003104457,0.000311857,0.0003794349,0.001024767,0.0009214392],"domain_scores_gemma":[0.8384525,0.08205792,0.05030433,0.005323406,0.01019618,0.01366577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001128573,0.001341979,0.9198287,0.00007079855,0.0001589027,0.0004399912,0.002089443,0.0006028219,0.0002008477,0.008882153,0.01397977,0.05127601],"study_design_scores_gemma":[0.000126579,0.0005170561,0.9572435,0.0001214006,0.0002876585,0.0013207,0.006840666,0.01056697,0.000321944,0.01569198,0.006845091,0.0001164124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645362,0.001986145,0.0005824218,0.01082757,0.00008738539,0.00005199219,0.0002136992,0.00003357505,0.0216809],"genre_scores_gemma":[0.9980102,0.0002178158,0.00008476571,0.0003481501,0.0000994506,0.00001006097,0.00005938229,0.000006403179,0.001163642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01174535,"threshold_uncertainty_score":0.06211609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008152767855161105,"score_gpt":0.2307077264540708,"score_spread":0.2225549585989097,"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."}}