{"id":"W6939161271","doi":"10.6068/dp157456255c691","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, Females - 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002323905,0.001710642,0.002007295,0.006200596,0.0008360759,0.003778241,0.003142108,0.001566338,0.1199435],"category_scores_gemma":[0.01759497,0.001136417,0.001394206,0.02141056,0.0003134389,0.0032075,0.002477343,0.0029939,0.1814193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002993744,"about_ca_system_score_gemma":0.006323796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08167064,"about_ca_topic_score_gemma":0.06043355,"domain_scores_codex":[0.997385,0.0003512671,0.0004782678,0.0004976614,0.000842383,0.0004453433],"domain_scores_gemma":[0.9902217,0.00128206,0.0009772455,0.0008233888,0.006089711,0.0006057469],"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":[0.00001750638,0.000007113618,0.000427487,0.0001845253,0.000008338414,0.000003972786,0.000008091362,0.00003861019,0.00001230702,0.0002165762,0.9980287,0.001046678],"study_design_scores_gemma":[0.0001318684,0.0000129067,0.008440641,0.0006689564,0.00002237107,0.00001702664,0.0001650019,0.0001175781,0.0001393574,0.0008044355,0.9894483,0.00003159196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002844166,0.00001934685,0.0000231202,0.00006015177,0.00003557358,0.00001059744,0.9992076,0.00004904292,0.0005662072],"genre_scores_gemma":[0.0001386092,0.00005507579,0.0001585185,0.00004449484,0.00001568958,0.0001330238,0.9983093,0.00006188606,0.00108349],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1199435,"threshold_uncertainty_score":0.401251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050396383176302,"score_gpt":0.2987623766113569,"score_spread":0.2483659934350549,"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."}}