{"id":"W2070128775","doi":"10.5509/2011844643","title":"Democratizing Hong Kong: Functional Representation and Politics of Institutional Change","year":2011,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Hong Kong and Taiwan Politics","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Representation (politics); Politics; Political science; Institutional change; Political economy; Public administration; Sociology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002839108,0.0001530003,0.0001647682,0.0008830017,0.004212826,0.006401755,0.0004215534,0.0004663342,0.002420312],"category_scores_gemma":[0.001890865,0.0001543573,0.0001622686,0.0009650002,0.01041188,0.001659527,0.00292823,0.0008638037,0.0001194108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01491583,"about_ca_system_score_gemma":0.008222815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1142402,"about_ca_topic_score_gemma":0.114922,"domain_scores_codex":[0.9983861,0.000747394,0.00005179988,0.00009363256,0.0001237273,0.0005973362],"domain_scores_gemma":[0.9987829,0.000288477,0.0002108591,0.0001762863,0.0001940402,0.0003473851],"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":[0.0001152371,0.00006364659,0.04546217,0.00008753686,0.0000468699,0.0006697346,0.04592315,0.002168736,0.0008143102,0.8677006,0.002875694,0.03407239],"study_design_scores_gemma":[0.0001630379,0.0003782481,0.3109485,0.0003896024,0.0001868187,0.0003753546,0.2035792,0.01651728,0.003420554,0.2053305,0.2585392,0.0001717357],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587558,0.000668365,0.002097249,0.006909933,0.00004723892,0.00004505154,0.00003053612,0.00001873595,0.1314272],"genre_scores_gemma":[0.9971104,0.0001020406,0.00009051369,0.00008758601,0.000004173003,0.000005424599,0.000005807376,0.000001382093,0.002592635],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1142402,"threshold_uncertainty_score":0.2271504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088118999435132,"score_gpt":0.2924053683354895,"score_spread":0.1835934683919763,"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."}}