{"id":"W4233791770","doi":"10.1108/oxan-db235346","title":"Japan GDP slump masks social and economic change","year":2018,"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":"Quarter (Canadian coin); Consumption (sociology); Recession; Economics; Fell; Real gross domestic product; Storm; Agricultural economics; Demographic economics; Labour economics; Monetary economics; Geography; Macroeconomics","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":[0.0001374996,0.0003400825,0.0006013087,0.0002723957,0.0001401343,0.0001057029,0.0002666079,0.000351826,0.008547409],"category_scores_gemma":[0.00001695767,0.0004006978,0.0001264022,0.00006699042,0.0001947742,0.0001431419,0.0001342701,0.0001196566,0.005635145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001240721,"about_ca_system_score_gemma":0.00003105322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06744808,"about_ca_topic_score_gemma":0.0005837512,"domain_scores_codex":[0.9983656,0.000007311915,0.0004335886,0.0007226948,0.00005231503,0.0004184494],"domain_scores_gemma":[0.9992419,0.00001645337,0.0003730551,0.0002452434,0.000009069815,0.0001142029],"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":[0.000005827741,0.00001404988,0.0002548586,0.00002055451,0.00006498076,0.000002265429,0.001037288,1.49121e-8,0.000001371756,0.0114585,0.9856142,0.001526098],"study_design_scores_gemma":[0.0002875163,0.00003042395,0.002502495,0.00004602565,0.000002954481,0.000005405128,0.000007684797,0.00002065144,0.000006375155,0.001920067,0.994664,0.0005063856],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001559542,0.02194799,0.0001615732,0.1417802,0.001845497,0.000922097,0.0003300729,0.0003309439,0.8311221],"genre_scores_gemma":[0.0007976501,0.006961443,0.0009399126,0.0991731,0.004801761,0.0002352105,0.0001131246,0.0005502477,0.8864276],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06686433,"threshold_uncertainty_score":0.9998445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07106430671570213,"score_gpt":0.2681308018124182,"score_spread":0.1970664950967161,"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."}}