{"id":"W6892392417","doi":"10.5255/ukda-sn-8675-3","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, January 2019 - March 2020","year":2021,"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":[0.001839836,0.000949005,0.001181773,0.002216521,0.0008073912,0.001315482,0.001587212,0.001239797,0.05808707],"category_scores_gemma":[0.009485404,0.0005959257,0.0007430671,0.005885283,0.0001722958,0.001148415,0.001151551,0.001396746,0.05664117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091813,"about_ca_system_score_gemma":0.004404782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1839114,"about_ca_topic_score_gemma":0.1983943,"domain_scores_codex":[0.9985467,0.0002232575,0.0002634817,0.0002723066,0.0004073112,0.0002869328],"domain_scores_gemma":[0.9965438,0.000321744,0.0003851007,0.0002193911,0.002269844,0.0002600288],"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":[0.00009659572,0.00002329276,0.004964173,0.0004529953,0.00003864855,0.00002449096,0.00003905579,0.000119061,0.00002891332,0.0003166672,0.9893852,0.004510984],"study_design_scores_gemma":[0.0008898309,0.0001421422,0.1860297,0.001107726,0.0001619681,0.0001167405,0.0006993362,0.0006553398,0.0001405353,0.0008094362,0.8091789,0.00006830168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000536759,0.0001294025,0.00006335683,0.0001712376,0.0000585541,0.00005247669,0.997597,0.00004087041,0.001350281],"genre_scores_gemma":[0.003186572,0.0002489214,0.0002042925,0.0002753617,0.00005148407,0.0006812473,0.9893643,0.0000270715,0.005960808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1839114,"threshold_uncertainty_score":0.3656819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04589921048938649,"score_gpt":0.3207357347335625,"score_spread":0.274836524244176,"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."}}