{"id":"W2952884488","doi":"10.48550/arxiv.1501.00994","title":"Online Reputation and Polling Systems: Data Incest, Social Learning and Revealed Preferences","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Polling; Overconfidence effect; Polling system; Computer science; Reputation; Parsing; Social learning; Misinformation; Graph; Machine learning; Social psychology; Artificial intelligence; Psychology; Computer security; Theoretical computer science; Knowledge management","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":[0.01026889,0.0007289432,0.001513074,0.0009925436,0.001318262,0.003631551,0.002119697,0.002389879,0.001759311],"category_scores_gemma":[0.05597841,0.0007068568,0.000929633,0.001430421,0.003080847,0.006022086,0.002264478,0.002538598,0.000248478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002396988,"about_ca_system_score_gemma":0.0013818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003609264,"about_ca_topic_score_gemma":0.002868695,"domain_scores_codex":[0.9910769,0.005255939,0.0003378009,0.00141134,0.001231581,0.0006864638],"domain_scores_gemma":[0.9209665,0.06023596,0.007295167,0.006921646,0.002878476,0.001702176],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001234619,0.0005871723,0.02236365,0.0003125183,0.000346586,0.0009801182,0.001050757,0.643877,0.005347425,0.1995748,0.002399439,0.1219258],"study_design_scores_gemma":[0.00004051056,0.0001528713,0.001749122,0.00001632533,0.00004457105,0.0001306791,0.0001138251,0.9301881,0.001346334,0.06548125,0.000693222,0.00004319567],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2155043,0.0007623864,0.776591,0.002014566,0.00009805697,0.000167303,0.0001335039,0.000384884,0.004343862],"genre_scores_gemma":[0.9650208,0.00017473,0.03334504,0.0001084733,0.00006972353,0.00006636482,0.00004280811,0.00003092296,0.001141207],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01026889,"threshold_uncertainty_score":0.05430776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5043780155849001,"score_gpt":0.3403517486627036,"score_spread":0.1640262669221965,"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."}}