{"id":"W6967339152","doi":"10.5255/ukda-sn-8674-1","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, April 2019 - June 2020","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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.002081946,0.001843321,0.002068341,0.000528747,0.0004339542,0.0006456525,0.01310104,0.000499443,0.004100546],"category_scores_gemma":[0.002616563,0.001857154,0.0002193101,0.001144321,0.0007084621,0.001190798,0.01391308,0.003210716,0.1966984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001461386,"about_ca_system_score_gemma":0.0009020237,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02094636,"about_ca_topic_score_gemma":0.07380427,"domain_scores_codex":[0.9882109,0.001949159,0.001515146,0.004634261,0.001837936,0.00185266],"domain_scores_gemma":[0.9817725,0.001853007,0.001245953,0.01384105,0.0001577112,0.001129814],"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":[0.0009803975,0.000251039,0.0002484855,0.0003780875,0.001041191,0.001268057,0.00004769439,0.00001108191,0.00003519498,0.0000212074,0.9956788,0.00003876608],"study_design_scores_gemma":[0.001534877,0.0002176203,0.01039333,0.0002096784,0.0007272253,0.000142585,0.00002708422,0.0002313463,0.000003499593,0.0001670011,0.9844152,0.001930526],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007624591,0.0003336182,0.0002707696,0.0004036945,0.001603853,0.001389716,0.9957403,0.0001895232,0.00006090492],"genre_scores_gemma":[0.000007129792,0.0007178608,0.001143421,0.001045806,0.001928931,0.00006358876,0.9938793,0.0003500196,0.0008639576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1925978,"threshold_uncertainty_score":0.9994311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04764081135851913,"score_gpt":0.3081096565405825,"score_spread":0.2604688451820634,"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."}}