{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00133391,0.0005813352,0.0005749226,0.0009669906,0.002449586,0.009342262,0.0009425491,0.004127346,0.03023399],"category_scores_gemma":[0.002790874,0.0002312649,0.000536386,0.001162859,0.0126592,0.01489498,0.003605343,0.008351417,0.008629092],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005749603,"about_ca_system_score_gemma":0.002727387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004794068,"about_ca_topic_score_gemma":0.003479277,"domain_scores_codex":[0.998885,0.0003045234,0.00002710246,0.0002688889,0.0002815847,0.0002328802],"domain_scores_gemma":[0.9993112,0.000254355,0.00005334133,0.0001089931,0.0001571479,0.0001148981],"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":[0.000006507331,0.000009019108,0.00005940533,0.00002765768,0.000001511511,0.00002425983,0.0004847567,0.00005229599,0.00003668855,0.9624541,0.02617508,0.0106686],"study_design_scores_gemma":[0.000003979349,0.000009753336,0.000161699,0.0001837424,0.000001620121,0.00004740279,0.0005411481,0.0001012709,0.00006031082,0.263128,0.7357556,0.000005585736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005092605,0.05972109,0.005406343,0.1589352,0.008355521,0.0000216725,0.0001718608,0.00009933247,0.7621965],"genre_scores_gemma":[0.2521947,0.07015227,0.002870869,0.08387134,0.015333,0.0001222752,0.0002521651,0.0004704673,0.5747329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03023399,"threshold_uncertainty_score":0.1011428,"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."}}