{"id":"W4241139268","doi":"10.1108/oxan-db244084","title":"Japan economic trends point to slowdown or recession","year":2019,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Regional resilience and development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recession; Quarter (Canadian coin); Economics; Consumer confidence index; China; Pessimism; Slowdown; Consumption (sociology); Stimulus (psychology); Economic slowdown; Economic recovery; International economics; Macroeconomics; Economic growth; Geography","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":[0.0001913858,0.0004489181,0.000851367,0.0007633375,0.00007575707,0.000119494,0.0005347009,0.0003494411,0.0240645],"category_scores_gemma":[0.00004246704,0.0004278096,0.0002100109,0.0002275606,0.00004275837,0.0001561511,0.0001361148,0.0001859041,0.02366424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003040552,"about_ca_system_score_gemma":0.00008788406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03644355,"about_ca_topic_score_gemma":0.0003900303,"domain_scores_codex":[0.9976231,0.000009907726,0.0007217209,0.001031825,0.00008406017,0.0005293769],"domain_scores_gemma":[0.9986228,0.00002996973,0.0004431653,0.0006651226,0.00001060141,0.0002283762],"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":[0.00003847947,0.00002867124,0.00003879661,0.00001907762,0.0000517495,0.000004296087,0.0004559864,0.000008448086,0.00000929482,0.004042056,0.9879398,0.007363392],"study_design_scores_gemma":[0.0003988313,0.00009020025,0.0002785578,0.0001799783,0.000002081593,0.000006584934,0.000009192809,0.00003253149,0.00004547355,0.0004364669,0.9978358,0.0006843143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009588012,0.003041534,0.000306779,0.1234738,0.001117804,0.000406746,0.0001256529,0.000198504,0.8712333],"genre_scores_gemma":[0.0001056999,0.00177782,0.001276886,0.09046425,0.000553025,0.00009306976,0.00008344321,0.0003610677,0.9052848],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03605352,"threshold_uncertainty_score":0.9998174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03259592674064195,"score_gpt":0.2687297787359044,"score_spread":0.2361338519952624,"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."}}