{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009580393,0.0002479418,0.000536865,0.002317443,0.003085216,0.006092928,0.001253035,0.001982873,0.01244517],"category_scores_gemma":[0.04839323,0.0003228321,0.0004285819,0.00395515,0.006416094,0.0053741,0.007983224,0.002159768,0.0008117782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006570496,"about_ca_system_score_gemma":0.003947926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00816518,"about_ca_topic_score_gemma":0.008235043,"domain_scores_codex":[0.9854299,0.01067424,0.0004323448,0.0009978386,0.001218125,0.001247621],"domain_scores_gemma":[0.9676479,0.02043393,0.006013317,0.001456004,0.002652285,0.001796529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004902312,0.001146002,0.2957959,0.003074245,0.0004237517,0.001678164,0.2318934,0.0106794,0.001794865,0.2084324,0.01045552,0.2341361],"study_design_scores_gemma":[0.0001045198,0.0003448838,0.2357258,0.002440327,0.0002488637,0.0003816862,0.418947,0.005775711,0.001917655,0.2003332,0.1336146,0.0001656544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887023,0.003428124,0.008088953,0.01706282,0.0001161856,0.0001389184,0.0001583918,0.00009497852,0.08388851],"genre_scores_gemma":[0.9975719,0.0007149923,0.0004793459,0.0002855082,0.00001232302,0.00003253429,0.00002650642,0.000009862651,0.000866912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01244517,"threshold_uncertainty_score":0.05066657,"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."}}