{"id":"W2260900826","doi":"10.1177/0975087815580726","title":"Bringing in the Future in Kenya: Beyond the 2010 Constitution","year":2015,"lang":"en","type":"article","venue":"Insight on Africa","topic":"International Development and Aid","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Development Research Centre","funders":"","keywords":"Constitution; Politics; Legislature; Devolution (biology); Corporate governance; Language change; Good governance; Political science; Public administration; Economic growth; Development economics; Political economy; Law; Sociology; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007446958,0.00004626835,0.00004504746,0.00006945596,0.0001570636,0.00006443987,0.000243104,0.00004201571,0.00003753242],"category_scores_gemma":[0.0001002418,0.00002600933,0.00001584576,0.0002958039,0.0001040858,0.0001112263,0.00001757674,0.0001589959,0.00009176319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001041315,"about_ca_system_score_gemma":0.0001482683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003841666,"about_ca_topic_score_gemma":0.003619101,"domain_scores_codex":[0.9992259,0.0001253983,0.00009293808,0.00008116907,0.0003411353,0.0001334909],"domain_scores_gemma":[0.9997508,0.0001002607,0.00002792924,0.00006266752,0.00003720612,0.00002112432],"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":[0.0000116847,0.00004083016,0.004503413,5.785487e-7,0.000002624219,0.00002001886,0.0880718,0.00002117695,0.00001363644,0.8801269,0.02549623,0.001691119],"study_design_scores_gemma":[0.0001706021,0.000008664943,0.01869549,0.00001214821,9.28982e-7,7.473143e-7,0.008516101,0.00002982512,0.00001563291,0.01134205,0.9611516,0.00005620588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0621638,0.0002068848,0.000006647691,0.03357925,0.001095957,0.0001371625,7.820126e-7,0.00001305153,0.9027964],"genre_scores_gemma":[0.9970764,0.00002674735,0.00002829808,0.0008444106,0.0003308586,0.00000988831,0.000001519473,0.000001558752,0.001680355],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9356554,"threshold_uncertainty_score":0.2019543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04558292922713853,"score_gpt":0.2876299536508665,"score_spread":0.2420470244237279,"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."}}