{"id":"W2487534120","doi":"10.1093/acprof:oso/9780199662135.003.0005","title":"Turning Back to the Market","year":2012,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Inflation (cosmology); Boom; Development economics; Investment (military); Quarter (Canadian coin); Distribution (mathematics); Income distribution; Demographic dividend; Latin Americans; Debt; Poverty; Economic policy; Political science; Economic growth; Inequality; Macroeconomics; Geography; Politics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000370514,0.0002822466,0.0004259737,0.0001838157,0.0002077405,0.00005666849,0.0007140997,0.0002857416,0.002982235],"category_scores_gemma":[0.00001102725,0.0003136596,0.0002358221,0.000007687183,0.00009031434,0.0001125508,0.0003909914,0.0003924012,0.0004875323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001609953,"about_ca_system_score_gemma":0.0000185772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000911334,"about_ca_topic_score_gemma":0.00003562357,"domain_scores_codex":[0.9989443,0.00001701244,0.0002846936,0.0003846863,0.00001671292,0.0003525559],"domain_scores_gemma":[0.9986979,0.00009528828,0.0003563288,0.0006541593,0.00001679211,0.0001795505],"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":[0.00005013815,0.000003854911,0.00003082678,0.0000215682,0.0001102182,0.000003863934,0.0004451809,0.000008644985,3.027919e-7,0.9772642,0.0200162,0.002044974],"study_design_scores_gemma":[0.0001974071,0.00002154018,0.00004222932,0.00003147179,0.00002645268,0.000004275983,0.0000183397,0.00001414065,0.000005900947,0.01840685,0.9808598,0.0003716377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000162013,0.0004257297,0.0002466034,0.0001480764,0.0004553228,0.0003135506,0.0006655297,0.00003750371,0.9975457],"genre_scores_gemma":[0.002309765,0.0003038947,0.0001351315,0.0004735307,0.0004561238,9.194727e-7,0.00001456012,0.00004931283,0.9962568],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9608436,"threshold_uncertainty_score":0.9999316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03650649740353014,"score_gpt":0.1868186731837726,"score_spread":0.1503121757802424,"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."}}