{"id":"W6967614276","doi":"10.5255/ukda-sn-6207-2","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, April 2007 - June 2008","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; 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":[0.002194067,0.0009581604,0.001240808,0.00230229,0.0008465028,0.001307158,0.001916302,0.001155417,0.05531749],"category_scores_gemma":[0.01131104,0.0007126484,0.000686989,0.005323697,0.0002042279,0.001092106,0.001297207,0.001567536,0.05774542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001986682,"about_ca_system_score_gemma":0.00381492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1268056,"about_ca_topic_score_gemma":0.1599881,"domain_scores_codex":[0.9983197,0.0003150564,0.000277306,0.0003169048,0.0004999348,0.0002710393],"domain_scores_gemma":[0.9956819,0.000434145,0.0005235011,0.000348686,0.002784912,0.000226925],"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":[0.00008030681,0.0000266981,0.003778876,0.0002605971,0.00002499649,0.00001597211,0.00005052339,0.00009350208,0.00001545094,0.0002679639,0.991675,0.003710204],"study_design_scores_gemma":[0.0008684474,0.000138212,0.1651237,0.0009125995,0.0001249265,0.0001132378,0.0007570204,0.0005134537,0.0001165581,0.0007483165,0.8305207,0.00006289782],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007910895,0.0001357999,0.000114214,0.0002347915,0.00007126509,0.000114984,0.9964406,0.00007023737,0.002026963],"genre_scores_gemma":[0.003566757,0.0002708283,0.0003685264,0.0003206812,0.00006807542,0.001289203,0.9861428,0.00004428362,0.0079288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1268056,"threshold_uncertainty_score":0.2521351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06262044344339238,"score_gpt":0.3205925241099289,"score_spread":0.2579720806665365,"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."}}