{"id":"W7164922444","doi":"10.1080/17153379.2023.12558349","title":"Capturing Institutional Change: The Case of the Right to Information Act in India.","year":2023,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Data Privacy and Cybersecurity","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Legislation; Freedom of information; Information system","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":[0.009117642,0.0002418724,0.0003359645,0.001722844,0.01533413,0.01260417,0.00282195,0.01054536,0.007921358],"category_scores_gemma":[0.02741248,0.0004010985,0.0006607969,0.00318735,0.02321499,0.009183796,0.009452237,0.01088124,0.0004889407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01623762,"about_ca_system_score_gemma":0.0204277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2002438,"about_ca_topic_score_gemma":0.2515673,"domain_scores_codex":[0.9919813,0.003553066,0.0001992093,0.0004875876,0.0008323565,0.002946492],"domain_scores_gemma":[0.9713307,0.02067087,0.002141959,0.00265847,0.001614838,0.001583229],"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":[0.00008698062,0.0001217296,0.0191941,0.00007288339,0.00003803629,0.003694458,0.05717352,0.001780008,0.0002033575,0.8925129,0.01144904,0.01367302],"study_design_scores_gemma":[0.0000940611,0.0001083357,0.04257977,0.0005883379,0.0001696774,0.001663063,0.4235456,0.01006469,0.00210955,0.3708829,0.147996,0.0001980078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5482443,0.0007103551,0.005053037,0.07296833,0.0001425032,0.000181114,0.0002207438,0.00006147443,0.3724182],"genre_scores_gemma":[0.9908614,0.000196521,0.0006186953,0.002062438,0.00001857182,0.00003150847,0.00003037234,0.00001051804,0.006170042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2002438,"threshold_uncertainty_score":0.3981565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376247963608632,"score_gpt":0.2791733983208559,"score_spread":0.2554109186847696,"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."}}