{"id":"W4242309980","doi":"10.3982/te61bm","title":"Backmatter of Theoretical Economics Vol. 6 Iss. 1","year":2011,"lang":"en","type":"article","venue":"Theoretical Economics","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of California, Los Angeles; Universität Zürich; Toulouse School of Economics; Monash University; Massachusetts Institute of Technology; University of Technology Sydney; London School of Economics and Political Science; University College London; York University; Vrije Universiteit Brussel; Universitat Pompeu Fabra; University of Oxford; Northwestern University; Princeton University; Indian Statistical Institute; Yale University","keywords":"Citation; Computer science; Mathematical economics; Library science; Operations research; Information retrieval; Economics; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001046645,0.0004233895,0.001124942,0.0002790643,0.00009289113,0.00005611893,0.0008416385,0.0003831138,0.01335321],"category_scores_gemma":[0.0002468395,0.0004848254,0.0004400248,0.000104686,0.002552414,0.0003683626,0.0002776381,0.0003480358,0.003441927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001551953,"about_ca_system_score_gemma":0.00004453931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003813277,"about_ca_topic_score_gemma":0.000004159017,"domain_scores_codex":[0.9965689,0.00004061526,0.001769484,0.0008102537,0.00001949483,0.0007912777],"domain_scores_gemma":[0.9978634,0.0002062368,0.0005662344,0.0009566093,0.0000459672,0.0003615988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001478086,0.0001779708,0.004326534,0.00003286861,0.0001150375,0.000001329526,0.0005698036,0.000008401983,0.000006167134,0.9937025,0.0005963378,0.0003152528],"study_design_scores_gemma":[0.0007532833,0.0001744848,0.004345579,0.00001183663,0.00002182102,0.00001164839,0.0000880946,0.004240073,0.0009009009,0.9857721,0.00311757,0.0005626634],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4825321,0.00009810518,0.0005933138,0.0006345171,0.0006879261,0.0002090014,0.0003079522,0.00005120924,0.5148858],"genre_scores_gemma":[0.9947602,0.0001319917,0.002703632,0.001724194,0.0003832339,0.00002675989,0.00002249007,0.00009958958,0.000147884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.514738,"threshold_uncertainty_score":0.9997603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02877865238317424,"score_gpt":0.1970756876790329,"score_spread":0.1682970352958587,"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."}}