{"id":"W1721870969","doi":"10.2139/ssrn.885568","title":"The Dimensions of Reputation in Electronic Markets","year":2009,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of California, Irvine; Carnegie Mellon University; Microsoft Research; York University; Microsoft; National Science Foundation","keywords":"Business; Electronic markets; Reputation; Marketing; Industrial organization; Computer science; World Wide Web; The Internet; Political science; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002612968,0.00008114721,0.00009444371,0.0001202661,0.000224622,0.0000773299,0.0004775499,0.00004441002,0.000001044002],"category_scores_gemma":[0.0001051403,0.00005284529,0.00006569197,0.0004681409,0.00001804985,0.0003388345,0.00002244642,0.001081544,0.000003887308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000522732,"about_ca_system_score_gemma":0.001012948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002429391,"about_ca_topic_score_gemma":0.000466339,"domain_scores_codex":[0.9979647,0.000148888,0.0002680675,0.0001477163,0.0002358835,0.001234703],"domain_scores_gemma":[0.9994006,0.0001085934,0.0001649443,0.0002301725,0.00006408855,0.00003161758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006076022,0.0000591247,0.0004006901,8.878885e-7,0.00002545404,0.00000244031,0.0002643448,0.0002516439,0.002246208,0.6462635,0.00008537804,0.3503395],"study_design_scores_gemma":[0.000385107,0.0005621082,0.01178922,0.00001520015,0.000005848066,0.0003255276,0.000113395,0.005911006,0.0007967678,0.9789276,0.001070351,0.00009794348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7708027,0.007640707,0.2132302,0.00675278,0.000501485,0.0001992872,1.422629e-7,0.00007434226,0.0007983831],"genre_scores_gemma":[0.9949902,0.00454803,0.000146179,0.00007150941,0.00005490275,0.000001454603,2.460711e-7,0.000003985735,0.0001834796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3502416,"threshold_uncertainty_score":0.4698829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004434693325151219,"score_gpt":0.2233368307387511,"score_spread":0.2189021374135998,"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."}}