{"id":"W2902912576","doi":"10.48550/arxiv.1812.02143","title":"The Spread of Voting Attitudes in Social Networks","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Voting; Connection (principal bundle); Measure (data warehouse); Computer science; Cellular automaton; Outcome (game theory); Process (computing); Power (physics); Majority rule; Automaton; Theoretical computer science; Mathematical economics; Mathematics; Algorithm; Artificial intelligence; Data mining; Political science","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":[0.0002035649,0.0001462473,0.0002197307,0.00004239686,0.0002600804,0.00004107827,0.0004711404,0.0001277263,0.00003100589],"category_scores_gemma":[0.000006054012,0.0001445541,0.0001674005,0.0001910598,0.0002517308,0.0000519687,0.0005294393,0.0003955673,0.000005575421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005174468,"about_ca_system_score_gemma":0.00008436676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008002601,"about_ca_topic_score_gemma":0.0001379124,"domain_scores_codex":[0.999177,0.00007578857,0.0001829663,0.0002972401,0.00003958868,0.000227433],"domain_scores_gemma":[0.9992684,0.0001213589,0.0002641675,0.0002115119,0.0001010694,0.00003353724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001667967,0.00005188955,0.4511758,0.00001587443,0.00008070222,0.000002404303,0.0001675275,0.08328013,0.000001740246,0.464618,0.0001110878,0.0004780844],"study_design_scores_gemma":[0.0009262684,0.00005136885,0.2356068,0.0003522645,0.0001061251,9.633096e-8,0.0009084986,0.609974,0.00002112089,0.1505464,0.0006611297,0.0008458699],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765573,0.00002653785,0.01701307,0.00003676164,0.0004071548,0.0001674527,0.00002821076,0.00001577341,0.005747745],"genre_scores_gemma":[0.9991838,0.00002292652,0.00001560391,0.000007477676,0.0004153073,6.367441e-7,0.0000151643,0.00001089324,0.000328207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5266939,"threshold_uncertainty_score":0.5894747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04802870295397171,"score_gpt":0.2225958368927249,"score_spread":0.1745671339387532,"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."}}