{"id":"W2895104473","doi":"10.20542/0131-2227-2018-62-9-88-96","title":"YOUNG PEOPLE IN THE RUSSIAN LABOUR MARKET","year":2018,"lang":"en","type":"article","venue":"World Economy and International Relations","topic":"Economic Development and Digital Transformation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Sveriges Regering; Canadian Food Inspection Agency","keywords":"Pace; Residence; Context (archaeology); Political science; Economic growth; Work (physics); Social inequality; Public relations; Inequality; Sociology; Geography; Economics; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003606126,0.00007485024,0.0001024788,0.0002876179,0.000117587,0.0001712024,0.0001615209,0.0000302478,0.005570176],"category_scores_gemma":[0.00002034585,0.00007531887,0.00003369373,0.0001594104,0.00004460125,0.0008445143,0.00002083956,0.0000857823,0.001313396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006581115,"about_ca_system_score_gemma":0.00001087785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007426128,"about_ca_topic_score_gemma":0.002041994,"domain_scores_codex":[0.9993005,0.000006682406,0.0003959151,0.0001652468,0.00001308507,0.000118553],"domain_scores_gemma":[0.9997063,0.00005474678,0.0001074368,0.000094391,0.00001040665,0.00002673396],"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":[0.000003624047,0.00001474209,0.3048365,0.00000134063,0.00001054405,9.580123e-8,0.0007438959,0.000002411564,3.329971e-8,0.6915989,0.002576714,0.0002112686],"study_design_scores_gemma":[0.0002028239,0.000006834221,0.5293437,0.000004667587,7.372404e-7,0.000003293586,0.00008142435,0.002326818,8.877128e-7,0.1570811,0.3108711,0.00007662336],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09098189,0.00006050759,0.0004444984,0.00694304,0.000346643,0.0001076556,0.00003700034,0.00001195613,0.9010668],"genre_scores_gemma":[0.9340876,0.0000251356,0.0002510386,0.0005419684,0.0001234873,0.00003104772,0.00003453185,0.000005280123,0.06489991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8431057,"threshold_uncertainty_score":0.9994642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816839165842793,"score_gpt":0.2132831822899624,"score_spread":0.1951147906315345,"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."}}