{"id":"W1929755879","doi":"10.1111/capa.12042","title":"Deciding who will decide: Assessing random selection for participants in<scp>E</scp>dmonton's<scp>C</scp>itizen<scp>P</scp>anel on budget priorities","year":2013,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Social Media and Politics","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Residence; Diversity (politics); Selection (genetic algorithm); Event (particle physics); Key (lock); Deliberation; Business; Political science; Computer science; Economics; Demographic economics; Computer security","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.4160879,0.0008013628,0.001548328,0.002727986,0.003593568,0.003605497,0.003179612,0.002999087,0.006037003],"category_scores_gemma":[0.6380603,0.0008214258,0.002294341,0.002163168,0.006360224,0.003697531,0.003164863,0.002897386,0.0009110733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00460613,"about_ca_system_score_gemma":0.007436136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005556927,"about_ca_topic_score_gemma":0.005919775,"domain_scores_codex":[0.5269336,0.4140696,0.02121993,0.0106996,0.02281132,0.00426598],"domain_scores_gemma":[0.2187419,0.7174543,0.03119125,0.01410752,0.01533052,0.003174487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03608488,0.004110896,0.5526227,0.003061601,0.003264904,0.0006632056,0.09130055,0.008147302,0.001051743,0.02946254,0.01132986,0.2588997],"study_design_scores_gemma":[0.01642516,0.03441421,0.4690054,0.005925668,0.005745091,0.001187334,0.1213961,0.1709134,0.01021878,0.1184807,0.04516064,0.00112754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968819,0.000898646,0.04972857,0.003330088,0.0006728127,0.03682384,0.0005267508,0.0001116972,0.01102571],"genre_scores_gemma":[0.9566196,0.0001755366,0.01759704,0.0008362061,0.0001293102,0.02381254,0.0002482624,0.00002342254,0.0005580377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9944431,"threshold_uncertainty_score":0.7200676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05333733823568579,"score_gpt":0.3295325070036006,"score_spread":0.2761951687679148,"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."}}