{"id":"W2980248646","doi":"10.33917/es-4.162.2019.60-65","title":"Results of the First Quarter of Stability with the Crisis Trend 2019: Macroeconomic","year":2019,"lang":"en","type":"article","venue":"Economic Strategies","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Economics; Keynesian economics; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005415711,0.0001081223,0.0002399959,0.00002850112,0.0001604014,0.00005085247,0.0006804979,0.00009230043,0.0009889139],"category_scores_gemma":[0.00001127373,0.00005936889,0.00008289271,0.00006105668,0.0007545485,0.0002123947,0.00007437607,0.000110682,0.00007793788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001161798,"about_ca_system_score_gemma":0.0002792725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001950163,"about_ca_topic_score_gemma":0.01144906,"domain_scores_codex":[0.9990619,0.00005314209,0.0003865851,0.0002414341,0.00005418966,0.0002027225],"domain_scores_gemma":[0.9989222,0.0002111677,0.0003606059,0.000469503,0.00001358651,0.00002299046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003016746,0.0001025771,0.1338254,0.00004375742,0.0002602701,3.520415e-7,0.02190307,0.0008174151,0.00003756607,0.7960237,0.04531549,0.001368773],"study_design_scores_gemma":[0.002345559,0.0003211602,0.5214742,0.00006501944,0.00005255251,0.000001726545,0.2387514,0.00008703717,0.002802845,0.05124004,0.1822376,0.0006208583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8153077,0.00002908545,0.000001537965,0.00643446,0.0002302726,0.0002344426,0.00005763565,0.00002011202,0.1776847],"genre_scores_gemma":[0.9990921,0.00003826371,0.00005870046,0.00006074739,0.00002791235,0.00001024414,0.00000153885,0.000005391577,0.0007050842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7447836,"threshold_uncertainty_score":0.9999243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287541110694707,"score_gpt":0.2394481501488729,"score_spread":0.2265727390419258,"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."}}