{"id":"W6939196116","doi":"10.6068/dp1574561593089","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, Males - 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":[0.002313099,0.001717289,0.002009179,0.00621297,0.0008355264,0.003779187,0.003145532,0.001567934,0.1196278],"category_scores_gemma":[0.01746604,0.001136501,0.00139727,0.02146339,0.0003130339,0.003192221,0.002471425,0.003008313,0.1818107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002986146,"about_ca_system_score_gemma":0.006290492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08136911,"about_ca_topic_score_gemma":0.06016805,"domain_scores_codex":[0.9973845,0.0003512496,0.0004762908,0.000498949,0.0008434444,0.0004455024],"domain_scores_gemma":[0.990311,0.001277009,0.000970981,0.0008174102,0.006018931,0.0006046739],"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":[0.00001733274,0.000007099847,0.0004247479,0.0001831579,0.000008319558,0.000003952512,0.000008046523,0.00003865308,0.00001224017,0.0002153652,0.9980431,0.001037961],"study_design_scores_gemma":[0.0001327059,0.00001288467,0.008413658,0.0006632601,0.00002234408,0.00001698239,0.0001640659,0.0001180082,0.0001390757,0.0008078013,0.9894776,0.00003157698],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002828142,0.00001919367,0.00002302026,0.00005973381,0.00003529108,0.00001043113,0.9992148,0.00004906442,0.0005602368],"genre_scores_gemma":[0.0001368984,0.00005435509,0.0001569912,0.00004405816,0.00001557743,0.0001307743,0.9983295,0.00006177134,0.00107012],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1196278,"threshold_uncertainty_score":0.4001946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04191731592823289,"score_gpt":0.2915095113140453,"score_spread":0.2495921953858124,"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."}}