{"id":"W6892482971","doi":"10.5255/ukda-sn-9265-1","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, October 2023 - March 2024","year":2024,"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; Spring (device); Longitudinal study","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","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.00454492,0.002026461,0.001778689,0.001664157,0.0003901696,0.001351564,0.01168586,0.0004954577,0.02053143],"category_scores_gemma":[0.001302267,0.001922106,0.0002666248,0.001775298,0.0008625276,0.001030063,0.0185704,0.004793648,0.5035502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002604001,"about_ca_system_score_gemma":0.001058988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03834415,"about_ca_topic_score_gemma":0.2274516,"domain_scores_codex":[0.9864163,0.001923798,0.001603131,0.005360689,0.002270017,0.002426022],"domain_scores_gemma":[0.9791245,0.002431465,0.0006029619,0.01680791,0.0001662545,0.0008668623],"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":[0.0004921603,0.0002486788,0.0003675206,0.0009083602,0.001623863,0.002460921,0.00001894532,0.000007568761,0.00002319255,0.00009163461,0.9936867,0.0000704691],"study_design_scores_gemma":[0.0009881492,0.0001615153,0.005133568,0.0006297237,0.001184407,0.0003147029,0.00003832526,0.0002809476,0.000001791657,0.0008923729,0.9883375,0.002036992],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001353689,0.0009103097,0.00007347336,0.0001829224,0.003012389,0.00153651,0.9934006,0.000197007,0.0006732324],"genre_scores_gemma":[0.00001133143,0.000413694,0.0006274941,0.0003600289,0.002363589,0.0001841142,0.9912759,0.0005044543,0.004259412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4830187,"threshold_uncertainty_score":0.9996851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06543454700625467,"score_gpt":0.3534868124374801,"score_spread":0.2880522654312254,"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."}}