{"id":"W4235093512","doi":"10.1145/2964791.2901488","title":"Majority Rule Based Opinion Dynamics with Biased and Stubborn Agents","year":2016,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Logarithm; Set (abstract data type); Computer science; Mathematical economics; Mathematics; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00144068,0.0001967393,0.0002956381,0.0001421948,0.0001970005,0.00004914633,0.0002645078,0.00004395114,0.0004988461],"category_scores_gemma":[0.0002474834,0.000131837,0.0000628427,0.0009063523,0.00007024581,0.0003473985,0.00007665364,0.0001072873,0.00005217338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001276571,"about_ca_system_score_gemma":0.0002018752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003095341,"about_ca_topic_score_gemma":0.000002337204,"domain_scores_codex":[0.998314,0.0001290858,0.0003640724,0.0003245907,0.0006284133,0.0002397905],"domain_scores_gemma":[0.9984141,0.0002238224,0.000276587,0.0005098832,0.0004675327,0.0001080459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00000912057,0.00007167343,0.3015095,0.0003326487,0.00003311243,1.135423e-7,0.00001349137,0.0000534908,0.000004897769,0.00160107,0.0006234574,0.6957474],"study_design_scores_gemma":[0.006957062,0.0006986092,0.6206406,0.01036799,0.0005180104,0.000002267331,0.00007828778,0.3196011,0.0001557605,0.003333292,0.03595252,0.00169452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955142,0.01178595,0.01982229,0.004360646,0.0007064797,0.002798021,0.0002445937,0.00009014792,0.005049883],"genre_scores_gemma":[0.9839348,0.01351669,0.001482652,0.0004850448,0.00011277,0.0001550903,0.0001747312,0.00002277244,0.0001154892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6940529,"threshold_uncertainty_score":0.5462014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04871352847015456,"score_gpt":0.3392430116602808,"score_spread":0.2905294831901262,"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."}}