{"id":"W2067813875","doi":"10.1145/1150735.1150738","title":"A reputation mechanism for layered communities","year":2006,"lang":"en","type":"article","venue":"ACM SIGecom Exchanges","topic":"Access Control and Trust","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Reputation; Incentive; Internet privacy; Computer science; Mechanism (biology); Computer security; Mechanism design; Digital content; Digital goods; Peer-to-peer; Business; World Wide Web; Microeconomics; Economics; 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":[0.006654247,0.0006141678,0.0009410707,0.00170512,0.002840341,0.004209269,0.003242044,0.002322241,0.004058443],"category_scores_gemma":[0.02495086,0.0006528735,0.001197778,0.001306657,0.001844613,0.007746493,0.005002517,0.001968778,0.001634241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001435728,"about_ca_system_score_gemma":0.00212823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001946858,"about_ca_topic_score_gemma":0.001482238,"domain_scores_codex":[0.9947022,0.001780415,0.0005152246,0.0008210003,0.001678026,0.0005031287],"domain_scores_gemma":[0.9826134,0.004537744,0.002206369,0.005299542,0.003374338,0.001968622],"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":[0.0006865395,0.0003933278,0.002851526,0.0004372909,0.0002802622,0.0009028205,0.001555353,0.06994233,0.01523145,0.6858848,0.01293144,0.2089027],"study_design_scores_gemma":[0.0004219573,0.0006438942,0.001169306,0.0001578479,0.0003203372,0.001383807,0.0002504803,0.5268791,0.01046369,0.3917274,0.06622209,0.0003600683],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03048683,0.0006160798,0.9555278,0.001091194,0.0002802881,0.0003417077,0.000140956,0.002188552,0.009326771],"genre_scores_gemma":[0.698842,0.0004420889,0.2857293,0.0002553453,0.0003392516,0.0004020752,0.0001880248,0.0001706331,0.0136313],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006654247,"threshold_uncertainty_score":0.03519142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05099866233568784,"score_gpt":0.3259098500974883,"score_spread":0.2749111877618005,"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."}}