{"id":"W2786728401","doi":"","title":"Small Is Beautiful: Knowledge Management and Budget Reform in a Rural County","year":2017,"lang":"en","type":"article","venue":"˜The œinnovation journal","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Public administration; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01199486,0.0001152814,0.000170305,0.0006421076,0.00148981,0.002002782,0.001861192,0.00006280765,0.0001205491],"category_scores_gemma":[0.0003972627,0.00006317697,0.00004247725,0.001142195,0.0003812199,0.0009083956,0.0003783061,0.0006065173,0.0001161187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001576522,"about_ca_system_score_gemma":0.0001181176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004738558,"about_ca_topic_score_gemma":0.0001479218,"domain_scores_codex":[0.9972486,0.0001046307,0.0007418482,0.000256278,0.001273844,0.0003747228],"domain_scores_gemma":[0.9980728,0.0001240051,0.0005261474,0.0005646344,0.0006137349,0.00009864745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009264253,0.00008466539,0.1145999,0.00001176181,0.00002804468,0.00004743425,0.002983178,0.000008089809,0.0006093832,0.05447103,0.05424478,0.7728191],"study_design_scores_gemma":[0.001003341,0.00005193826,0.6966305,0.0000639115,0.000004555536,0.0001222127,0.004989003,0.00408235,0.0001223893,0.1078224,0.1849336,0.0001737466],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884038,0.0002117054,0.00149505,0.01170616,0.0006893364,0.0002235212,0.000007930827,0.000008739386,0.09725374],"genre_scores_gemma":[0.9835605,0.0001380644,0.0002864133,0.0006690815,0.0002223052,0.000006052771,7.062541e-7,0.000005743289,0.01511115],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7726454,"threshold_uncertainty_score":0.9998101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.153883839692727,"score_gpt":0.4176602286202821,"score_spread":0.2637763889275551,"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."}}