{"id":"W6966862647","doi":"10.5255/ukda-sn-6208-2","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, July 2007 - September 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":[0.00212116,0.0009357624,0.001219714,0.002297584,0.0008461512,0.001284031,0.001916565,0.001154339,0.05543994],"category_scores_gemma":[0.01091507,0.0006946784,0.0006646817,0.005291416,0.0002072168,0.001053175,0.001313928,0.001540649,0.05879744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001936873,"about_ca_system_score_gemma":0.003706018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1228789,"about_ca_topic_score_gemma":0.1585412,"domain_scores_codex":[0.9983387,0.0003138015,0.0002782092,0.0003059321,0.00049247,0.0002708641],"domain_scores_gemma":[0.9957951,0.0004305046,0.0005210432,0.000337363,0.002693275,0.0002227974],"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":[0.00008216757,0.00002861958,0.003942389,0.000266402,0.0000250798,0.00001659583,0.00005122855,0.00009827177,0.0000161859,0.0002704012,0.9915132,0.00368958],"study_design_scores_gemma":[0.0008642572,0.0001428294,0.1654941,0.0008976888,0.0001184902,0.0001172884,0.0007668529,0.0005427652,0.000121332,0.0007505597,0.8301213,0.000062653],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008238872,0.000128701,0.0001090362,0.000228595,0.00006589397,0.0001144733,0.9965279,0.00006953104,0.001931943],"genre_scores_gemma":[0.003553075,0.0002472077,0.0003525381,0.0003051923,0.00006212883,0.001277922,0.9867766,0.00004136691,0.007384003],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1228789,"threshold_uncertainty_score":0.2443274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06645955944451487,"score_gpt":0.3307530060719464,"score_spread":0.2642934466274315,"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."}}