{"id":"W3121527487","doi":"10.1016/j.geb.2006.08.004","title":"Budget processes","year":2019,"lang":"en","type":"article","venue":"GoeScholar  The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen)","topic":"Fiscal Policies and Political Economy","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations","funders":"Alexander von Humboldt-Stiftung","keywords":"Budget process; Budget constraint; Economics; Work (physics); Process (computing); Econometrics; Microeconomics; Computer science; Physics; Political science; Thermodynamics","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":["metaepi_narrow","sts","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002410349,0.001012265,0.001366824,0.0008511293,0.001556428,0.0006135323,0.00564781,0.0007692022,0.0122662],"category_scores_gemma":[0.0007793273,0.0009415395,0.001023395,0.002916046,0.0007923581,0.008049276,0.002626438,0.001607394,0.005750729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009602511,"about_ca_system_score_gemma":0.0004899811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00258193,"about_ca_topic_score_gemma":0.0002619471,"domain_scores_codex":[0.993655,0.0003743009,0.001768703,0.00173186,0.0005652364,0.001904872],"domain_scores_gemma":[0.9917112,0.0006234501,0.002567574,0.003346494,0.001102101,0.0006491778],"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":[0.000511071,0.001054491,0.1392094,0.001688069,0.002346143,0.00001802705,0.004918486,0.001171594,0.000605931,0.7331346,0.1139312,0.0014109],"study_design_scores_gemma":[0.002509199,0.0002032837,0.02741391,0.0001412209,0.0002803707,0.00003542887,0.004823309,0.0005267407,0.001120652,0.0198935,0.9416215,0.001430867],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4967414,0.001424546,0.0002171589,0.0194048,0.001391229,0.001883933,0.0007128538,0.0003768201,0.4778472],"genre_scores_gemma":[0.7583933,0.0002035894,0.0003806334,0.002539099,0.0004495597,0.00002380915,0.0001883728,0.000167954,0.2376536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8276903,"threshold_uncertainty_score":0.9997434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346338828874717,"score_gpt":0.1908768770035242,"score_spread":0.177413488714777,"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."}}