{"id":"W2790886770","doi":"10.1111/ropr.12285","title":"Issue Proximity and Policy Response in Local Governments","year":2018,"lang":"en","type":"article","venue":"Review of Policy Research","topic":"Policy Transfer and Learning","field":"Social Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Politics; Structuring; Local government; Political science; Public economics; Economics; Business; Public administration","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":[0.01119262,0.000091434,0.0002844798,0.0004003472,0.0002951145,0.00002793042,0.0003687297,0.00008559097,0.0002112913],"category_scores_gemma":[0.008075546,0.0000828191,0.00004936015,0.001970972,0.00177666,0.0001662016,0.0001258265,0.0003516351,0.0001378179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004967389,"about_ca_system_score_gemma":0.001775631,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05287154,"about_ca_topic_score_gemma":0.001579283,"domain_scores_codex":[0.9945242,0.003221851,0.0003025299,0.0002338491,0.001010887,0.0007067284],"domain_scores_gemma":[0.9986218,0.0006570054,0.00003843044,0.0002538537,0.0001813419,0.0002475928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001121765,0.0003921369,0.01031587,0.008685859,0.00005051968,0.00002109249,0.05738258,4.078769e-7,0.001688457,0.2164126,0.01297005,0.6909587],"study_design_scores_gemma":[0.0004262596,0.0004061979,0.0295385,0.004244021,0.000005215918,0.00000270782,0.001548994,0.00001221515,0.0003851672,0.002565093,0.9607109,0.0001546639],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2742994,0.03457346,0.00009347919,0.1975255,0.00008725297,0.0026167,0.00005076339,0.00006678855,0.4906867],"genre_scores_gemma":[0.939864,0.05574265,0.00004771333,0.001221355,0.0009357366,0.00002739774,5.572365e-7,0.00001217595,0.002148457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9477409,"threshold_uncertainty_score":0.9667765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1022828117240229,"score_gpt":0.5293169230332962,"score_spread":0.4270341113092734,"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."}}