{"id":"W6929795710","doi":"10.5255/ukda-sn-5923-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2003","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":[0.00213003,0.001043285,0.001462402,0.00234922,0.0009884386,0.001573588,0.002233662,0.001318984,0.0442475],"category_scores_gemma":[0.01045874,0.0007757121,0.0007479014,0.007130255,0.0001988827,0.0009938263,0.001176227,0.001724174,0.05153986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002763584,"about_ca_system_score_gemma":0.005160801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2162598,"about_ca_topic_score_gemma":0.2594859,"domain_scores_codex":[0.998383,0.0002720426,0.000296449,0.0003184361,0.0004494954,0.0002805074],"domain_scores_gemma":[0.9955189,0.0003763487,0.0005602784,0.0003890832,0.002893361,0.0002619233],"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":[0.0001236156,0.00003848807,0.005639341,0.0003356074,0.00003433617,0.00002684916,0.00007322669,0.0001262754,0.00002723395,0.0002570558,0.9887382,0.004579849],"study_design_scores_gemma":[0.001010677,0.0001401219,0.2218332,0.0008474544,0.0001422999,0.0001266059,0.0008831861,0.0005653517,0.00016099,0.0007225799,0.7735038,0.00006376383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000827557,0.0001312535,0.0000950534,0.0002048416,0.00005554354,0.0001248188,0.9966036,0.00006420916,0.001893127],"genre_scores_gemma":[0.004568775,0.0003258534,0.0003539918,0.0003397131,0.00005275258,0.001428148,0.9840586,0.00005369529,0.008818402],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2162598,"threshold_uncertainty_score":0.430002,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07833400387290734,"score_gpt":0.3423788707164009,"score_spread":0.2640448668434935,"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."}}