{"id":"W2318305113","doi":"10.1177/0144739414566786","title":"E’s are good","year":2015,"lang":"en","type":"article","venue":"Teaching Public Administration","topic":"Public Policy and Administration Research","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Legislature; Variety (cybernetics); Public sector; Public relations; Context (archaeology); Quality (philosophy); Public administration; Public policy; Good governance; Political science; Sociology; Economics; Management; Computer science; Epistemology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004191756,0.0001097319,0.0001228544,0.0001489666,0.0008788215,0.0007702927,0.0003870592,0.0001393388,0.0001863533],"category_scores_gemma":[0.006005179,0.0001135749,0.00004945835,0.0002801777,0.0002133739,0.00109214,0.00003829563,0.0003759041,0.0001739127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059387,"about_ca_system_score_gemma":0.002421029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003260585,"about_ca_topic_score_gemma":0.002667283,"domain_scores_codex":[0.9973975,0.0007466715,0.0002495338,0.0002456309,0.0008724356,0.0004882277],"domain_scores_gemma":[0.9984713,0.0001297936,0.0002153545,0.0002342821,0.0002143833,0.00073492],"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":[0.00001037931,0.000166649,0.006216269,0.000003123317,0.000008574339,0.00001040761,0.002368171,4.754324e-7,0.00001039352,0.9620576,0.02470238,0.004445555],"study_design_scores_gemma":[0.0002852078,0.00009640765,0.003009778,0.000006353883,0.000003691634,0.000006676078,0.009976164,0.0000779163,0.00002740456,0.006391466,0.9799546,0.0001643317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1293154,0.00002530078,0.002136255,0.1350171,0.0003885288,0.0002839428,0.00001494664,0.0004624674,0.7323561],"genre_scores_gemma":[0.9825773,0.000002299826,0.0004985503,0.0007551695,0.0008178393,0.00002940893,0.00003495299,0.00001080203,0.01527364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9556661,"threshold_uncertainty_score":0.7427951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1991225739226032,"score_gpt":0.4453233065157187,"score_spread":0.2462007325931156,"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."}}