{"id":"W4237302208","doi":"10.1108/oxan-db199928","title":"Prospects for the global economy in the third quarter","year":2015,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Revenue; Economics; Commodity; Falling (accident); Investment (military); Economy; Monetary economics; Market economy; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006219679,0.0001931031,0.0002399613,0.00002996856,0.0002559344,0.0001439956,0.0009697406,0.0003436526,0.0006429193],"category_scores_gemma":[0.0001122444,0.00011033,0.00007973628,0.0001553544,0.0003542682,0.00006533754,0.00006149574,0.0001892046,0.0001302407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982037,"about_ca_system_score_gemma":0.0001775041,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04297685,"about_ca_topic_score_gemma":0.009808868,"domain_scores_codex":[0.9988673,0.00005272749,0.000220529,0.0003232685,0.0001407996,0.0003953546],"domain_scores_gemma":[0.9993998,0.0001052281,0.0001376248,0.0002929147,0.00001927929,0.00004514043],"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":[0.000003039041,0.00001632764,0.00003084456,0.000003006994,0.000020484,0.000001245307,0.002785703,5.921213e-8,1.969307e-8,0.121902,0.8742014,0.001035844],"study_design_scores_gemma":[0.0002099614,0.00001503923,0.0000712772,0.0000261465,0.0000042765,7.63208e-7,0.0004379431,0.000003624304,2.966614e-7,0.04158007,0.9574732,0.0001774465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000002880269,0.001447685,0.0000651355,0.2913187,0.0002091014,0.0008492901,0.00001379563,0.000143544,0.7059498],"genre_scores_gemma":[0.0007424438,0.0008270966,0.001643415,0.3277833,0.001792646,0.001285809,0.00003751171,0.0001303002,0.6657574],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08327176,"threshold_uncertainty_score":0.9633961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305572901130903,"score_gpt":0.3080819334787747,"score_spread":0.2775246433656844,"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."}}