{"id":"W6929868166","doi":"10.5255/ukda-sn-7674-7","title":"Labour Force Survey Household Datasets, 2002-2019: Secure Access","year":2019,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Coronary Interventions and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Sample (material); Current Population Survey; Population; Work (physics); Population projection; Survey data collection; Survey sampling","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006102078,0.0005652602,0.0008716224,0.0003501281,0.0001229295,0.0002089637,0.003313882,0.0003014047,0.005933838],"category_scores_gemma":[0.001539228,0.000507214,0.0001628219,0.0002706986,0.0001415803,0.0003727383,0.00508095,0.001186123,0.001874772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005512206,"about_ca_system_score_gemma":0.0005014397,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008203383,"about_ca_topic_score_gemma":0.01281628,"domain_scores_codex":[0.9966787,0.0002447546,0.0006699232,0.001228662,0.0005795105,0.000598471],"domain_scores_gemma":[0.9908687,0.001170725,0.0003835663,0.00713731,0.00008719404,0.0003524757],"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":[0.0002516818,0.0004145608,0.001530671,0.0006852708,0.0003441652,0.0003608491,0.000006696583,0.000006518953,0.000001541657,0.00003059553,0.9960973,0.0002701372],"study_design_scores_gemma":[0.001212415,0.0002956884,0.04247624,0.0008261496,0.0005928461,0.0001413333,0.00001282003,0.00005749561,0.000001877499,0.0000488036,0.9538437,0.0004906852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001345487,0.0008989992,0.0003698734,0.000155853,0.001112647,0.00102269,0.9961348,0.0000442111,0.0001263556],"genre_scores_gemma":[0.00005672738,0.003242614,0.0002719872,0.001314884,0.0005927962,0.0000254966,0.9917076,0.00006885909,0.002719076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04225367,"threshold_uncertainty_score":0.9997379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09947247181486037,"score_gpt":0.3668214107237555,"score_spread":0.2673489389088951,"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."}}