{"id":"W3121433476","doi":"","title":"How Often Should Reputation Mechanisms Update a Trader's Reputation Profile?","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Quest University Canada","funders":"","keywords":"Reputation; Publication; Statistic; Business; Moral hazard; Profit (economics); Mechanism design; Mechanism (biology); Microeconomics; Computer science; Actuarial science; Industrial organization; Economics; Incentive; Advertising; Mathematics; Statistics; 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":[0.01710258,0.0005327437,0.00134202,0.0009334112,0.001070226,0.004352946,0.002219521,0.003816935,0.001817384],"category_scores_gemma":[0.1183917,0.0007517905,0.000470902,0.001052901,0.001643341,0.01007233,0.001140951,0.002262614,0.001155547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001190051,"about_ca_system_score_gemma":0.0009035923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009622236,"about_ca_topic_score_gemma":0.0007702025,"domain_scores_codex":[0.990466,0.005119974,0.0005834778,0.001748578,0.001348049,0.0007339751],"domain_scores_gemma":[0.9082556,0.04997529,0.01780059,0.01640682,0.005702591,0.001859125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002565857,0.0008701219,0.07390886,0.0006162173,0.0008317613,0.0007304744,0.001282691,0.1467529,0.01804754,0.1933538,0.01057887,0.5504609],"study_design_scores_gemma":[0.0005392633,0.001168004,0.03451734,0.0002087157,0.0004885657,0.002742854,0.001494974,0.5661134,0.01516888,0.3598923,0.0173391,0.0003266445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4342367,0.002851725,0.5232289,0.01223033,0.000414903,0.0002198502,0.0002144581,0.001161007,0.02544221],"genre_scores_gemma":[0.9796032,0.0002588576,0.01871301,0.0002514014,0.0001303958,0.00003101897,0.00002941953,0.00003719934,0.0009453605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01710258,"threshold_uncertainty_score":0.0904482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935298128935417,"score_gpt":0.3240072664749159,"score_spread":0.2846542851855617,"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."}}