{"id":"W2805876460","doi":"10.16997/jdd.294","title":"Citizen Panels and Opinion Polls: Convergence and Divergence in Policy Preferences","year":2018,"lang":"en","type":"article","venue":"Journal of Deliberative Democracy","topic":"Social Media and Politics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; MacEwan University","funders":"","keywords":"Deliberation; Divergence (linguistics); Public opinion; Convergence (economics); Political science; Public relations; Process (computing); Opinion poll; Sociology; Economics; Computer science; Law; Politics","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":[0.0004539652,0.00009812081,0.000221965,0.0001582498,0.0003569325,0.00007382105,0.0001539647,0.00009016842,0.00008705498],"category_scores_gemma":[0.001502114,0.0000838973,0.0000312439,0.0003078553,0.0007640254,0.0004603397,0.00004757409,0.0001774206,0.000005740243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000723377,"about_ca_system_score_gemma":0.0005108475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520958,"about_ca_topic_score_gemma":0.0003524864,"domain_scores_codex":[0.9986226,0.0003468132,0.0003419459,0.0001182345,0.0003051767,0.0002652307],"domain_scores_gemma":[0.9986456,0.0004226741,0.0002459222,0.00004853379,0.0004108084,0.0002264517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001101423,0.00008337221,0.6307662,0.00002663692,0.00006674085,0.00002494826,0.2751895,0.000001055335,0.0009768908,0.04895133,0.002502103,0.04130114],"study_design_scores_gemma":[0.001759359,0.001072046,0.5320951,0.0004079468,0.00004650225,0.00006017731,0.06968617,0.00008739212,0.003648167,0.365592,0.02499893,0.0005462603],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988438,0.0005041524,0.0001503698,0.007743737,0.0008043624,0.0001108117,0.00000723514,0.000006606057,0.002234707],"genre_scores_gemma":[0.9929501,0.004232205,0.000503813,0.0005195656,0.001627704,0.000001393265,2.970576e-7,0.000005033804,0.0001598688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3166407,"threshold_uncertainty_score":0.3421233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04334705903911817,"score_gpt":0.3666152995937578,"score_spread":0.3232682405546396,"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."}}