{"id":"W6911120461","doi":"10.5255/ukda-sn-6796-2","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, January 2010 - March 2011","year":2012,"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":[0.002123405,0.0009450237,0.001332206,0.002155491,0.0009573669,0.001378157,0.001663889,0.001192788,0.05248158],"category_scores_gemma":[0.0113239,0.0006746867,0.000799749,0.00557091,0.0002056592,0.001080102,0.001315667,0.00159906,0.05387312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0022876,"about_ca_system_score_gemma":0.004218557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1550047,"about_ca_topic_score_gemma":0.2157853,"domain_scores_codex":[0.9982461,0.0003413032,0.0003228788,0.0003369279,0.0004481027,0.0003047015],"domain_scores_gemma":[0.9961662,0.0004007436,0.0004806665,0.0003026361,0.002427523,0.0002222148],"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":[0.0001001327,0.00003079993,0.005335368,0.0004987164,0.00004414488,0.00002175355,0.00007229303,0.0001387049,0.0000208899,0.0003313014,0.9886822,0.004723763],"study_design_scores_gemma":[0.0008057103,0.0001528337,0.2028691,0.00131892,0.0001796788,0.0001252593,0.0009958193,0.0005215288,0.0001281942,0.0008131564,0.7920036,0.00008619931],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008930477,0.0001733784,0.00009295531,0.0002268393,0.00006243349,0.0001074789,0.9965692,0.00005241133,0.001822267],"genre_scores_gemma":[0.004228391,0.0003654818,0.0003223253,0.0003363905,0.00006494106,0.001247249,0.9855855,0.00003384566,0.007815826],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1550047,"threshold_uncertainty_score":0.3082048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07575790140108349,"score_gpt":0.3249748229681402,"score_spread":0.2492169215670567,"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."}}