{"id":"W6948728287","doi":"10.5255/ukda-sn-8809-1","title":"Quarterly Labour Force Survey Household Dataset, January - March, 2021","year":2021,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Work (physics); Sample (material); Survey data collection; Northern ireland; Work force; Data collection; Data source","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","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007352014,0.0005007149,0.0005205207,0.0003938041,0.000109056,0.000777285,0.01037341,0.0001207052,0.001524727],"category_scores_gemma":[0.00006494848,0.0004971105,0.00006318721,0.0005119113,0.000120016,0.0007021351,0.00748621,0.0004704134,0.0005047133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001656177,"about_ca_system_score_gemma":0.0001624033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006161458,"about_ca_topic_score_gemma":0.008371417,"domain_scores_codex":[0.9959626,0.0004432753,0.0003630189,0.001959564,0.0006093949,0.0006621531],"domain_scores_gemma":[0.9904373,0.0002569118,0.0002704414,0.008807762,0.00001723492,0.0002103544],"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":[0.000003656716,0.00006216841,0.00007069643,0.00008441239,0.0001616242,0.0003365678,0.00003389692,4.151855e-7,0.000004587697,0.003937269,0.9677461,0.02755865],"study_design_scores_gemma":[0.0003213405,0.00005829115,0.002281212,0.0001945465,0.00002777246,0.00001043327,0.00002009245,0.001984509,0.000001220523,0.0006442189,0.9938384,0.0006179382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001434615,0.0009534929,0.357367,0.000247828,0.001306179,0.0005180945,0.5376145,0.0001908023,0.1018006],"genre_scores_gemma":[0.000005666233,0.0006249096,0.06625055,0.0005117265,0.0006756003,0.00001966928,0.5962307,0.0001899629,0.3354912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2911164,"threshold_uncertainty_score":0.9997481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04867880581222507,"score_gpt":0.2716636286344817,"score_spread":0.2229848228222566,"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."}}