{"id":"W6957774485","doi":"10.6068/dp165387976d54","title":"Trend 1999/2 - 2017/4. Organisation for Economic Co-operation and Development (OECD). Main Economic Indicators (MEI): Labor - Labor Market Statistics | Country: United Kingdom | Indicator ID: LREM64TT.STSA | Indicator: Employment rate, Aged 15-64, All persons, Level, rate or quantity series, s.a., 1999/2-2017/4. Data Planet™ Statistical Ready Reference: A SAGE Publishing Resource Dataset-ID: 062-003-008.","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic statistics; Prosperity; Economic indicator; Official statistics; Poverty; National accounts; Promotion (chess); Documentation; Economic data","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":[0.001729497,0.001943636,0.001802541,0.005655434,0.0009135903,0.004068787,0.003250195,0.001948058,0.1422843],"category_scores_gemma":[0.01512835,0.001278328,0.001359245,0.01914805,0.0003731466,0.003365555,0.002498782,0.003204169,0.2354347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00263251,"about_ca_system_score_gemma":0.004672459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06286559,"about_ca_topic_score_gemma":0.05701128,"domain_scores_codex":[0.9979395,0.0002802059,0.0003873588,0.0004401419,0.0006095201,0.0003432222],"domain_scores_gemma":[0.9914331,0.001333869,0.000872791,0.0009135333,0.004899601,0.0005470889],"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":[0.00001247847,0.000004876701,0.0002611269,0.0001558665,0.000006135273,0.000003554144,0.000006297507,0.00002871901,0.00001022714,0.0001631202,0.9986024,0.0007451391],"study_design_scores_gemma":[0.0001256863,0.00001084673,0.005413777,0.0005703642,0.00001720745,0.00001640381,0.0001352851,0.0001103795,0.0001091346,0.0006674579,0.9927962,0.00002706399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002148908,0.00001746516,0.00002010885,0.00006182253,0.00004190864,0.000008446345,0.999275,0.00004543369,0.000508299],"genre_scores_gemma":[0.0001074545,0.0000502461,0.000109108,0.0000395963,0.00001502323,0.00009194614,0.998485,0.00004601753,0.00105558],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1422843,"threshold_uncertainty_score":0.4759886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07992053800711751,"score_gpt":0.3127166878087497,"score_spread":0.2327961498016322,"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."}}