{"id":"W4298067363","doi":"10.1111/1468-0319.12316","title":"World Economic Prospects Monthly","year":2017,"lang":"en","type":"article","venue":"Economic Outlook","topic":"Arctic and Russian Policy Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pace; Economics; Commodity; Slowdown; Quarter (Canadian coin); World economy; China; Financial crisis; Real gross domestic product; International economics; Monetary economics; International trade; Macroeconomics; Market economy; 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":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000335122,0.0001200142,0.0002197306,0.00005454447,0.002270544,0.0002572678,0.0005431388,0.00005260474,0.001037701],"category_scores_gemma":[0.00005814077,0.0001194066,0.00009594522,0.000007179269,0.00065166,0.0003922544,0.0001517807,0.0000900454,0.00464823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004522723,"about_ca_system_score_gemma":0.0002593584,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01342322,"about_ca_topic_score_gemma":0.1069738,"domain_scores_codex":[0.9990689,0.00002972511,0.000190956,0.0002713646,0.00004657196,0.0003925442],"domain_scores_gemma":[0.9991304,0.00005325583,0.0002138404,0.0004558369,0.00000609608,0.0001405206],"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":[0.00001697414,0.0000216157,0.119701,0.000007251925,0.0001147152,0.000006897144,0.01184847,0.00003898273,0.000001453326,0.6361043,0.2278037,0.004334671],"study_design_scores_gemma":[0.0003370652,0.000012962,0.07803753,0.00001128155,0.00001523726,2.885374e-7,0.001016081,0.00008402128,0.00002713288,0.01960989,0.9006038,0.0002447121],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06481344,0.00009827771,0.000001154215,0.02542636,0.001366604,0.0002036509,0.00002026595,0.00006902201,0.9080012],"genre_scores_gemma":[0.8692418,0.00007950247,0.00009179457,0.0002384904,0.001785497,0.0000204686,7.839403e-7,0.00001319364,0.1285284],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8044284,"threshold_uncertainty_score":0.9998755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0284903968137745,"score_gpt":0.3208525656646939,"score_spread":0.2923621688509194,"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."}}