{"id":"W3016618740","doi":"","title":"World Economy Autumn 2017 - World economy in full swing","year":2017,"lang":"en","type":"article","venue":"Econstor (Econstor)","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Quarter (Canadian coin); World economy; Economy; Momentum (technical analysis); Real gross domestic product; Geography; Political science; Macroeconomics; Finance","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":[0.001845002,0.001704154,0.001535302,0.001827358,0.001552064,0.0130644,0.001217494,0.004666226,0.1499842],"category_scores_gemma":[0.003706131,0.0004095376,0.0006005184,0.003436583,0.0008450155,0.006368254,0.003563411,0.004385821,0.2203825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003026426,"about_ca_system_score_gemma":0.0050042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005121994,"about_ca_topic_score_gemma":0.005327574,"domain_scores_codex":[0.9992787,0.00005572441,0.0000620026,0.00008537042,0.0003162795,0.000201926],"domain_scores_gemma":[0.9993713,0.000043759,0.00006375714,0.00007719301,0.0002514869,0.0001924458],"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":[0.00004158934,0.00003250837,0.0005018085,0.0001380539,0.000007836974,0.00009196182,0.00003893374,0.00006159105,0.0001188481,0.008212184,0.960938,0.02981663],"study_design_scores_gemma":[0.00001100544,0.00001297552,0.001768077,0.0002281236,0.000003348023,0.00006833873,0.00007875264,0.00004289272,0.00007669371,0.002098672,0.9956028,0.00000824054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003623359,0.03721858,0.001069197,0.0717677,0.06597572,0.00037131,0.04058694,0.001675587,0.7777116],"genre_scores_gemma":[0.03197075,0.04293791,0.001464737,0.02244823,0.01109686,0.001003786,0.0409819,0.001224337,0.8468716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1499842,"threshold_uncertainty_score":0.5017471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03196881797593978,"score_gpt":0.2845974463777912,"score_spread":0.2526286284018514,"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."}}