{"id":"W6892510629","doi":"10.5255/ukda-sn-8483-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, October 2018 - March 2019","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.00284036,0.001867108,0.00193476,0.0008046876,0.0004465097,0.0007128924,0.01348814,0.0004294637,0.006173851],"category_scores_gemma":[0.001680801,0.001851655,0.0002124113,0.001035048,0.00089775,0.00123143,0.01578945,0.003402168,0.2377766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001928509,"about_ca_system_score_gemma":0.0009834095,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04703853,"about_ca_topic_score_gemma":0.09298418,"domain_scores_codex":[0.9869873,0.002487536,0.001523882,0.004731668,0.00208346,0.00218618],"domain_scores_gemma":[0.979751,0.002123301,0.001059934,0.01578085,0.0001639327,0.001120981],"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":[0.001014103,0.0002801341,0.0007418324,0.0003215942,0.001032299,0.0008603373,0.00002288395,0.000005898426,0.00004735013,0.00004137242,0.9955807,0.00005150477],"study_design_scores_gemma":[0.001881002,0.0002543782,0.01748314,0.0002030621,0.000644003,0.0001594305,0.0000187267,0.0001453012,0.000003402778,0.0001899593,0.9770591,0.001958508],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001071372,0.0002345269,0.0002981515,0.0002365137,0.0009942435,0.001619483,0.9962948,0.0001696048,0.0001419794],"genre_scores_gemma":[0.00001562718,0.0003420481,0.001488718,0.00101766,0.001928493,0.00008086431,0.9943229,0.0003985623,0.0004051068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2316028,"threshold_uncertainty_score":0.9994074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07161042941402113,"score_gpt":0.3377570252015407,"score_spread":0.2661465957875196,"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."}}