{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004486401,0.0002583436,0.0006687256,0.003213028,0.002127459,0.01013236,0.0006760689,0.003168528,0.006357317],"category_scores_gemma":[0.03703942,0.0005375384,0.0004074896,0.003345254,0.008299625,0.01820937,0.002942564,0.002428949,0.000426071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051676,"about_ca_system_score_gemma":0.001139465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001514895,"about_ca_topic_score_gemma":0.001778999,"domain_scores_codex":[0.9962681,0.00219549,0.000172571,0.0003125041,0.0007175462,0.0003338564],"domain_scores_gemma":[0.9458878,0.03499442,0.009649797,0.002589509,0.003305656,0.003572803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002311572,0.0002137756,0.06578828,0.0000979204,0.00009695927,0.0002322866,0.003031001,0.003180569,0.0004903614,0.8982461,0.002446265,0.02594535],"study_design_scores_gemma":[0.0000484651,0.00008041709,0.05701354,0.00005712267,0.00004329662,0.0002170659,0.003030762,0.009252474,0.0001239165,0.9262063,0.00386344,0.00006324012],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7834752,0.005424723,0.02097537,0.02234828,0.0001439914,0.00005483194,0.0002922345,0.00007494403,0.1672103],"genre_scores_gemma":[0.998457,0.0003089657,0.0005028455,0.00007697543,0.00007795145,0.000008169035,0.00001645035,0.000004109992,0.0005475759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01013236,"threshold_uncertainty_score":0.02372664,"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."}}