{"id":"W6892596430","doi":"10.5255/ukda-sn-5610-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, July - December, 2006","year":2015,"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; Longitudinal data","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":[0.002299913,0.001081705,0.001415304,0.002273888,0.0009912598,0.001416742,0.001988119,0.001270804,0.05049562],"category_scores_gemma":[0.01025004,0.0008282232,0.0007662756,0.005712986,0.0002015331,0.001023174,0.00127874,0.001971795,0.0575003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972859,"about_ca_system_score_gemma":0.004031499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1282141,"about_ca_topic_score_gemma":0.1661608,"domain_scores_codex":[0.9982795,0.0003074697,0.000293804,0.0003321469,0.0004959785,0.0002911589],"domain_scores_gemma":[0.9955527,0.0004150906,0.0005616078,0.0003851933,0.002806972,0.0002783721],"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":[0.0001048785,0.00003858239,0.004897899,0.0003270249,0.00003007316,0.00001775211,0.00006222979,0.0001212892,0.0000222073,0.0002727912,0.9899896,0.004115625],"study_design_scores_gemma":[0.001036443,0.0001803033,0.2046706,0.00087872,0.0001227106,0.0001345293,0.000777269,0.0005638097,0.0001353458,0.0007291503,0.7907041,0.00006703818],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007457696,0.0001124035,0.0001028401,0.0001805328,0.00005573993,0.0001147395,0.9968734,0.00006060491,0.001753909],"genre_scores_gemma":[0.003139175,0.0002522791,0.0003482448,0.0002673928,0.00005089691,0.001094447,0.9880534,0.00004063362,0.006753493],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1282141,"threshold_uncertainty_score":0.2549357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08397639377418073,"score_gpt":0.3499154692127662,"score_spread":0.2659390754385855,"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."}}