{"id":"W6911353536","doi":"10.5255/ukda-sn-6121-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, July - December, 2008","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":[0.001959796,0.000956956,0.00125738,0.002111509,0.000837374,0.001290369,0.001845207,0.001165831,0.05386376],"category_scores_gemma":[0.01005709,0.0007251826,0.0006588402,0.005243383,0.0001951011,0.001031534,0.001299403,0.001754439,0.0587806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847808,"about_ca_system_score_gemma":0.003447999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1239279,"about_ca_topic_score_gemma":0.1579592,"domain_scores_codex":[0.9985343,0.0002702998,0.0002416435,0.0002879841,0.0004096032,0.0002561604],"domain_scores_gemma":[0.9960189,0.0004134739,0.0004805638,0.0003481009,0.002498632,0.000240258],"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":[0.00008505984,0.00003131986,0.004324859,0.0002572485,0.00002523935,0.00001709031,0.00005359559,0.00009225361,0.00002090434,0.0002552461,0.9910744,0.003762813],"study_design_scores_gemma":[0.001023892,0.0001633683,0.1990275,0.0008217579,0.0001188973,0.0001281111,0.0008090861,0.0005686698,0.0001270988,0.000714145,0.7964301,0.00006749036],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008702378,0.0001082,0.0001089826,0.0002262853,0.00005709908,0.0001174617,0.9965792,0.00006794866,0.001864585],"genre_scores_gemma":[0.003795064,0.0002398153,0.0003672215,0.0003097137,0.00005960327,0.001393244,0.9861439,0.00004201944,0.00764922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1239279,"threshold_uncertainty_score":0.2464131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09142950846199631,"score_gpt":0.3513807163950656,"score_spread":0.2599512079330693,"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."}}