{"id":"W4226450307","doi":"10.1017/s0012217321000299","title":"Civility, Trust, and Responding to Echo Chambers","year":2021,"lang":"en","type":"article","venue":"Dialogue","topic":"Epistemology, Ethics, and Metaphysics","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Civility; Compromise; Distrust; Echo (communications protocol); Chorus; Psychology; Political science; Social psychology; Law; Computer science; Computer security; Art; Literature","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":[0.0003207876,0.00009699334,0.0001799914,0.00007972718,0.0002806883,0.000145708,0.00006573852,0.00005751321,0.0002934867],"category_scores_gemma":[0.0002028489,0.00009424605,0.00005362208,0.00006595009,0.0002468012,0.00008785907,0.00007889729,0.0001545988,0.00009036498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001608901,"about_ca_system_score_gemma":0.00005558499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001780567,"about_ca_topic_score_gemma":0.003467267,"domain_scores_codex":[0.9992355,0.0001026316,0.0001396657,0.0002319854,0.00009393311,0.0001962982],"domain_scores_gemma":[0.9994189,0.0001652794,0.00002968841,0.0002041731,0.00009154821,0.00009037974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002600405,0.00005070741,0.001536813,0.00006486769,0.00004427745,0.00005460778,0.1052543,0.0000021283,0.0006302866,0.8839992,0.005997081,0.002339699],"study_design_scores_gemma":[0.0002783539,0.00006569642,0.001233523,0.00003878283,0.00003191284,0.000007497081,0.005285046,0.00001631179,0.001068633,0.03567594,0.9560627,0.0002355585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7384067,0.0004313412,0.00005416256,0.003124732,0.001629482,0.0001265161,0.00008997985,0.0000749854,0.2560621],"genre_scores_gemma":[0.9737266,0.00003893435,0.0001779973,0.002689741,0.0006937043,0.00001075153,0.00004249891,0.00001558032,0.02260418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9500657,"threshold_uncertainty_score":0.3843243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05978608826616006,"score_gpt":0.2795026484633342,"score_spread":0.2197165601971742,"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."}}