{"id":"W6967385688","doi":"10.5255/ukda-sn-7707-8","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2014","year":2020,"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":[0.002146006,0.0009557652,0.001338637,0.00226916,0.0009310281,0.001418365,0.001960417,0.00120836,0.06334127],"category_scores_gemma":[0.01238399,0.000756749,0.0008596072,0.005458622,0.0002150501,0.00113065,0.001516919,0.001807033,0.05702853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001898463,"about_ca_system_score_gemma":0.004311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1239529,"about_ca_topic_score_gemma":0.1475561,"domain_scores_codex":[0.9981865,0.0003627301,0.0003147045,0.0003355102,0.0004831107,0.0003173776],"domain_scores_gemma":[0.995768,0.0004462881,0.0005026325,0.0003487419,0.002666212,0.0002681843],"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":[0.00009279825,0.00003370907,0.005254267,0.0003954092,0.00003915223,0.0000192122,0.00006681943,0.0001238813,0.00002229783,0.0003671426,0.9888976,0.004687699],"study_design_scores_gemma":[0.001015003,0.0001751495,0.1806955,0.001186645,0.0001612127,0.0001263031,0.0009393457,0.000621662,0.0001315196,0.001017732,0.8138518,0.00007821035],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009898791,0.0001620794,0.0001477317,0.0002586567,0.0000782427,0.0001557056,0.9956239,0.00007183063,0.002512028],"genre_scores_gemma":[0.00445943,0.00034051,0.0004294842,0.0003565048,0.00007696293,0.001748364,0.9835922,0.000049896,0.008946726],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1239529,"threshold_uncertainty_score":0.2464628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05710763626382257,"score_gpt":0.3241760570918397,"score_spread":0.2670684208280171,"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."}}