{"id":"W6967339152","doi":"10.5255/ukda-sn-8674-1","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, April 2019 - June 2020","year":2020,"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; Survey data collection; Work (physics); Data collection; Longitudinal study; Spring (device)","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":[0.002073356,0.001014207,0.001191629,0.002323861,0.0008493844,0.001523671,0.001605607,0.001289426,0.07742309],"category_scores_gemma":[0.01067368,0.0006556039,0.0007437167,0.005807411,0.0001759079,0.001203934,0.001207909,0.001411092,0.07661028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001985162,"about_ca_system_score_gemma":0.004392053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1580403,"about_ca_topic_score_gemma":0.1784522,"domain_scores_codex":[0.9984429,0.0002453988,0.0002785949,0.0002853631,0.0004532641,0.000294469],"domain_scores_gemma":[0.996135,0.0003820334,0.0003956575,0.0002629215,0.002534772,0.0002895402],"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":[0.00007656997,0.0000188886,0.003450764,0.0003295315,0.00002572305,0.00001906186,0.00003055795,0.00008978698,0.00002243605,0.0002660841,0.9915643,0.004106348],"study_design_scores_gemma":[0.000731084,0.0001104842,0.1404701,0.00096023,0.0001165639,0.00009157504,0.0005487184,0.0005007338,0.0001177949,0.0007742142,0.855522,0.00005657826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004126967,0.0001211629,0.00006958063,0.0001885998,0.00007329854,0.00005281822,0.9973271,0.00004336119,0.001711412],"genre_scores_gemma":[0.002303739,0.0002189001,0.0001902181,0.0002557788,0.00005532771,0.0006422272,0.9890974,0.00003091164,0.007205576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1580403,"threshold_uncertainty_score":0.3142409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764081135851913,"score_gpt":0.3081096565405825,"score_spread":0.2604688451820634,"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."}}