{"id":"W6939038436","doi":"10.6068/dp1574561ac2090","title":"Trend 2013/2 - 2016/1. Organisation for Economic Co-operation and Development (OECD). Main Economic Indicators: Labor Market Statistics | Country: Spain | Indicator: Employment rate, Aged 15-64, All persons - Level, rate or quantity series, s.a., 2013/2-2016/1. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 062-002-012.","year":2016,"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; Official statistics; Unemployment; Poverty; Documentation; International comparisons; Unit (ring theory); Economic indicator; Promotion (chess)","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.004717439,0.001801684,0.001969897,0.0007272167,0.0005504693,0.001210195,0.002749334,0.00124087,0.1653617],"category_scores_gemma":[0.00002811221,0.00158779,0.000002777324,0.00001756944,0.0007636687,0.001648058,0.001061292,0.0007945463,0.09373087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001293449,"about_ca_system_score_gemma":0.004261153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1145771,"about_ca_topic_score_gemma":0.2181646,"domain_scores_codex":[0.9905032,0.001920114,0.002271245,0.003131263,0.000618047,0.00155612],"domain_scores_gemma":[0.990679,0.00181643,0.00269607,0.003880347,0.000005882874,0.000922218],"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":[0.001437017,0.0002075958,0.0001619236,0.0006787851,0.00128877,0.00008744685,0.00004491818,0.000003529958,0.00009535372,0.0004950924,0.9951993,0.0003002601],"study_design_scores_gemma":[0.00343758,0.0003150425,0.00020282,0.00004654084,0.0006277959,0.0001151387,0.0001816505,0.0005749174,0.000002442973,0.000001311,0.9923421,0.00215263],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000008745864,0.0008836183,0.0002046908,0.00003393225,0.0007708251,0.003721206,0.9935583,0.0003617988,0.0004569101],"genre_scores_gemma":[0.00001646911,0.005657995,0.004017949,0.0002448406,0.0005894795,0.0002874402,0.9822465,0.00112224,0.005817056],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1035874,"threshold_uncertainty_score":0.9998267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04564230260868812,"score_gpt":0.2952312903123777,"score_spread":0.2495889877036896,"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."}}