{"id":"W6967303042","doi":"10.5255/ukda-sn-7652-4","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, July 2012 - September 2013","year":2017,"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":[0.002079317,0.000942916,0.001314866,0.002383747,0.0008795693,0.001369728,0.001810178,0.001100449,0.06033334],"category_scores_gemma":[0.01270378,0.0006510213,0.0008199184,0.005986646,0.0002109581,0.001061339,0.001336926,0.001424637,0.05618735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002139805,"about_ca_system_score_gemma":0.004292667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1682589,"about_ca_topic_score_gemma":0.2025832,"domain_scores_codex":[0.9982386,0.0003380042,0.000325208,0.0003167159,0.0004758139,0.0003057722],"domain_scores_gemma":[0.9958786,0.000431062,0.0004820038,0.0002859419,0.002692405,0.000230003],"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":[0.0000870051,0.00002398907,0.004025581,0.0003865004,0.00003221145,0.00001675357,0.00005227986,0.0001045318,0.00001689933,0.000293305,0.9907247,0.00423609],"study_design_scores_gemma":[0.0008663262,0.0001367503,0.167416,0.001335052,0.0001645078,0.0001115239,0.0008938665,0.0005927731,0.0001332343,0.0009665734,0.8273079,0.00007557979],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006984423,0.0001514618,0.0001100715,0.0002078053,0.00005954079,0.00009999574,0.9968441,0.00006409328,0.001764579],"genre_scores_gemma":[0.003920303,0.000313655,0.0003506798,0.0003053269,0.00006525903,0.001307411,0.9864156,0.00004522254,0.00727665],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1682589,"threshold_uncertainty_score":0.3345591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07454782487106995,"score_gpt":0.3532522584669028,"score_spread":0.2787044335958329,"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."}}