{"id":"W2077191658","doi":"10.1111/j.1540-6210.2007.00798.x","title":"Write the Rules and Win: Understanding Citizen Participation Game Dynamics","year":2007,"lang":"en","type":"article","venue":"Public Administration Review","topic":"Electoral Systems and Political Participation","field":"Social Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Normative; Control (management); Mechanism (biology); Citizen journalism; Public relations; State (computer science); Government (linguistics); Political science; Dynamics (music); Audience participation; Public administration; Law and economics; Sociology; Economics; Computer science; Law; Epistemology; Management","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":[],"consensus_categories":[],"category_scores_codex":[0.005083062,0.0003540232,0.0005022117,0.001463565,0.001130005,0.004360895,0.001271033,0.001463982,0.003495441],"category_scores_gemma":[0.02193343,0.0003504278,0.0004893867,0.0008464056,0.004729622,0.008106343,0.001813948,0.001210583,0.0003129859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244717,"about_ca_system_score_gemma":0.001644126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00567901,"about_ca_topic_score_gemma":0.004594533,"domain_scores_codex":[0.9964838,0.002317536,0.0001231414,0.0003020606,0.0004732832,0.0003001808],"domain_scores_gemma":[0.9917598,0.005841254,0.00121906,0.0004603386,0.0004555343,0.0002639799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001154805,0.0001042968,0.01521213,0.0001153688,0.00004099619,0.0002826256,0.018007,0.02032857,0.000965422,0.9228561,0.0009558357,0.02101609],"study_design_scores_gemma":[0.00004790534,0.00009811453,0.009788948,0.00008039791,0.000016635,0.0001510538,0.01996502,0.1646017,0.0006004503,0.7899892,0.01462065,0.00004004],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.684899,0.0006973042,0.1993648,0.007534132,0.00006622485,0.0002576663,0.0001439794,0.00009582526,0.106941],"genre_scores_gemma":[0.9899576,0.0001275359,0.007675207,0.00006942938,0.00001121047,0.00008533584,0.00002693611,0.00001203918,0.002034642],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00567901,"threshold_uncertainty_score":0.02688217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1449371114061826,"score_gpt":0.4143992792704793,"score_spread":0.2694621678642967,"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."}}