{"id":"W4249163050","doi":"10.1108/oxan-db225741","title":"Prospects for Brazil in 2018","year":2017,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Reputation; Recession; Shock (circulatory); Politics; Subject (documents); Class (philosophy); Political science; Economic history; Economy; Economics; History; Development economics; Geography; Keynesian economics; Law; Medicine; Library science; Computer science","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":["insufficient_payload"],"category_scores_codex":[0.0002929598,0.0003348946,0.0007930353,0.0003287175,0.0001037414,0.000112839,0.0005440118,0.0004023361,0.003431319],"category_scores_gemma":[0.0001338333,0.0004268078,0.0002113305,0.00004641191,0.0001052787,0.0001518027,0.0000765272,0.0001871323,0.001416912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001052282,"about_ca_system_score_gemma":0.00003059083,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06516034,"about_ca_topic_score_gemma":0.002067248,"domain_scores_codex":[0.9983544,0.000007427881,0.0004736969,0.0006727721,0.00001189148,0.0004797605],"domain_scores_gemma":[0.9984276,0.00003695026,0.0006812108,0.0007626445,0.000006032046,0.00008558065],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001020393,0.00003568696,0.00004366667,0.00004289619,0.00003735348,0.00000211991,0.0003829541,2.99131e-7,0.000002086848,0.1838072,0.8150424,0.0005930479],"study_design_scores_gemma":[0.0008123736,0.00003155717,0.0001194907,0.0001300239,0.000001811767,0.00000225665,9.315003e-7,0.00001621012,0.0000214407,0.06834947,0.9300281,0.0004863278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006317094,0.01500626,0.0002292366,0.03844608,0.001074352,0.001014297,0.0007370943,0.0001780629,0.9432514],"genre_scores_gemma":[0.000190266,0.001426292,0.0007582493,0.05454184,0.001682477,0.0002552061,0.00009408496,0.0004941046,0.9405575],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1154577,"threshold_uncertainty_score":0.9998184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255854413163364,"score_gpt":0.275535989434166,"score_spread":0.2429774453025323,"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."}}