{"id":"W6929979813","doi":"10.5255/ukda-sn-8826-2","title":"Quarterly Labour Force Survey, April - June, 2021","year":2022,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Cystic Fibrosis Research Advances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Documentation; Current Population Survey; Population; Work (physics); Work force; Sample (material); Data collection","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":[0.001865936,0.0009421482,0.001114233,0.002139664,0.0007293018,0.00162269,0.001321777,0.001162558,0.06613916],"category_scores_gemma":[0.007118726,0.0005709705,0.0005745547,0.004485613,0.0001613552,0.001384216,0.0009059591,0.001775559,0.09044409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002213445,"about_ca_system_score_gemma":0.00407703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09204196,"about_ca_topic_score_gemma":0.1059026,"domain_scores_codex":[0.9984308,0.0002216827,0.000222253,0.0002688976,0.0006082241,0.000248145],"domain_scores_gemma":[0.9967176,0.0002977272,0.0002217094,0.0001468609,0.002372138,0.0002439061],"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":[0.00007431675,0.00003659557,0.00662644,0.0004247962,0.00001990712,0.00002018366,0.00005446908,0.00006989127,0.00004131217,0.0003324033,0.9749954,0.01730426],"study_design_scores_gemma":[0.0001783662,0.00008764773,0.1811736,0.0008485256,0.00004209396,0.00006865451,0.0003950531,0.0002021701,0.00006812245,0.0003127181,0.8165922,0.00003093282],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00135816,0.001012201,0.000205318,0.001024349,0.0007067262,0.000337778,0.9742843,0.0001073416,0.02096383],"genre_scores_gemma":[0.006748909,0.002236646,0.0005764471,0.00121597,0.0002897172,0.002106611,0.9339134,0.00008138126,0.05283089],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09204196,"threshold_uncertainty_score":0.2212575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02901910651583257,"score_gpt":0.3247224342565075,"score_spread":0.2957033277406749,"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."}}