{"id":"W6911133442","doi":"10.5255/ukda-sn-8344-3","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, October 2017 - March 2018","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":[0.00292835,0.001869256,0.001936657,0.0007793391,0.000568092,0.0008125024,0.01493312,0.0004294485,0.004973668],"category_scores_gemma":[0.002058034,0.001855986,0.0002126991,0.0008513389,0.001033208,0.001302389,0.01639757,0.003405457,0.1987862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001848154,"about_ca_system_score_gemma":0.0009844487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03666497,"about_ca_topic_score_gemma":0.1142677,"domain_scores_codex":[0.9871095,0.002393471,0.001480999,0.004765956,0.002060483,0.002189564],"domain_scores_gemma":[0.9782783,0.001967611,0.001159213,0.01725332,0.000166877,0.001174636],"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":[0.0009836425,0.0002720551,0.0006874612,0.0003635703,0.001026386,0.001392764,0.0000256045,0.000004404979,0.00004262641,0.00003759124,0.9951189,0.00004499219],"study_design_scores_gemma":[0.001842167,0.0002354525,0.01776461,0.0002192046,0.0006628847,0.0002220952,0.00002110519,0.000162276,0.000003046291,0.0002138507,0.9767017,0.001951594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000009358125,0.0001993929,0.0003141059,0.0002239001,0.0009770306,0.001536504,0.9963413,0.0001648674,0.0002335249],"genre_scores_gemma":[0.000024434,0.0003452018,0.001476647,0.0008912224,0.002048084,0.0001001908,0.9944564,0.0003595738,0.0002982176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1938125,"threshold_uncertainty_score":0.9994052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1028802554701995,"score_gpt":0.3541526468544729,"score_spread":0.2512723913842734,"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."}}