{"id":"W6967540575","doi":"10.5255/ukda-sn-8805-1","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, January 2020 - March 2021","year":2021,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Sample (material); Unemployment; Work (physics); Survey data collection; Longitudinal study; 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":[0.002342135,0.001014834,0.001242194,0.002375625,0.0008383635,0.001349067,0.001629929,0.001359385,0.05107709],"category_scores_gemma":[0.01087409,0.0007013862,0.0007942758,0.006449789,0.0001768591,0.001112408,0.001161486,0.001482147,0.05332557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002068077,"about_ca_system_score_gemma":0.004204507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1555473,"about_ca_topic_score_gemma":0.1626429,"domain_scores_codex":[0.9982779,0.0003047452,0.0003003043,0.0003030579,0.0004890059,0.0003250952],"domain_scores_gemma":[0.9960864,0.0003767322,0.0004282804,0.0002694213,0.002559156,0.0002799938],"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":[0.0001073962,0.00002903198,0.005472087,0.00049042,0.00004038186,0.00002516218,0.00004509426,0.0001474522,0.00003053763,0.0003220366,0.9883859,0.004904521],"study_design_scores_gemma":[0.0009060206,0.0001653624,0.200064,0.001198369,0.0001511081,0.0001134348,0.0006660278,0.0006846676,0.0001401866,0.0008234253,0.7950189,0.00006843249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006023168,0.0001557936,0.00008116232,0.0001927286,0.00006814974,0.00007660191,0.9972898,0.0000443143,0.00148905],"genre_scores_gemma":[0.003040451,0.0002583735,0.0002378864,0.000279374,0.00005212013,0.0008486125,0.9894496,0.0000275249,0.005806038],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1555473,"threshold_uncertainty_score":0.3092837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04839176047525081,"score_gpt":0.3210037259251221,"score_spread":0.2726119654498713,"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."}}