{"id":"W6948680034","doi":"10.5255/ukda-sn-6771-1","title":"Quarterly Labour Force Survey Eurostat Dataset, Quarter One, 2009","year":2011,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"European union; Quarter (Canadian coin); Unemployment; Eu countries; Member states; Work (physics); Labour supply","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":[0.001777685,0.001301406,0.00124976,0.003902795,0.0005357736,0.002082143,0.001419785,0.001002156,0.07648663],"category_scores_gemma":[0.01052562,0.0005873067,0.0007434623,0.01087495,0.0002196535,0.00149885,0.001227241,0.001278713,0.1224706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00204743,"about_ca_system_score_gemma":0.003787965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09043583,"about_ca_topic_score_gemma":0.06784786,"domain_scores_codex":[0.9977611,0.000324266,0.0003983241,0.0005003072,0.0007360603,0.0002799798],"domain_scores_gemma":[0.9966273,0.000368425,0.0004847776,0.0002568263,0.002115836,0.0001469063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00004306847,0.00001257096,0.001836423,0.0002724281,0.00001575387,0.00000991865,0.00002740623,0.00009457392,0.00001641234,0.0005507364,0.993083,0.004037635],"study_design_scores_gemma":[0.0001771499,0.00004126692,0.07529787,0.0004850549,0.00004338264,0.00006670622,0.000263326,0.0002437265,0.000102488,0.0006605384,0.9225858,0.00003262549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000422394,0.0002158734,0.0001074061,0.0001822083,0.00009290524,0.00005480082,0.995176,0.00009037876,0.003658137],"genre_scores_gemma":[0.001885016,0.0004716938,0.0003158936,0.0001692491,0.00006683179,0.0003587436,0.9877929,0.00007398777,0.008865674],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09043583,"threshold_uncertainty_score":0.2558733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0706709788050068,"score_gpt":0.3014008037075637,"score_spread":0.2307298249025569,"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."}}