{"id":"W6892337539","doi":"10.5255/ukda-sn-7842-6","title":"Quarterly Labour Force Survey, July - September, 2015","year":2019,"lang":"en","type":"other","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Population; Current Population Survey; Work (physics); Documentation; Sample (material); International comparisons; Data collection; Work force","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":[0.003522069,0.00116159,0.001525761,0.002911097,0.0007573958,0.001630709,0.001766773,0.001050748,0.0918878],"category_scores_gemma":[0.01175451,0.0008304501,0.0008007289,0.005826389,0.0002456698,0.001624327,0.001463191,0.00227803,0.1240328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002905632,"about_ca_system_score_gemma":0.006252709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1199569,"about_ca_topic_score_gemma":0.1087888,"domain_scores_codex":[0.9975073,0.0004192031,0.0003814293,0.0004073508,0.0009303611,0.0003543681],"domain_scores_gemma":[0.9955609,0.0004781249,0.0002791624,0.0003053096,0.003149958,0.0002265297],"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":[0.00005377986,0.00002258811,0.001993418,0.0002945302,0.00001454602,0.000008072093,0.00004238175,0.00006664686,0.00002403038,0.0004869384,0.9853698,0.01162331],"study_design_scores_gemma":[0.0001872261,0.00006687355,0.07450964,0.0009079243,0.00004021521,0.00004119854,0.000285836,0.0002156338,0.00006593989,0.0004618806,0.9231844,0.000033283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.00074187,0.0006582374,0.0003873763,0.000671534,0.000838899,0.0004185626,0.9804204,0.0001676477,0.01569557],"genre_scores_gemma":[0.004317866,0.001521593,0.001143569,0.0009705664,0.0002456466,0.002393695,0.9417762,0.0001220949,0.04750878],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1199569,"threshold_uncertainty_score":0.3073953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.037813117002328,"score_gpt":0.3095845088363436,"score_spread":0.2717713918340157,"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."}}