{"id":"W6929996065","doi":"10.5255/ukda-sn-8673-6","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, October 2019 - March 2020","year":2022,"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":[0.004943962,0.001760688,0.00177825,0.0009491561,0.0007981873,0.0006078599,0.01558114,0.0002986263,0.1767639],"category_scores_gemma":[0.001365197,0.00184312,0.0002236388,0.001316357,0.0006894536,0.001109334,0.02592798,0.004440428,0.04415768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186371,"about_ca_system_score_gemma":0.001091141,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06874071,"about_ca_topic_score_gemma":0.1177953,"domain_scores_codex":[0.984865,0.003891298,0.001511773,0.004768283,0.00267514,0.002288511],"domain_scores_gemma":[0.9766014,0.002716247,0.001105966,0.01864093,0.000134974,0.000800449],"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":[0.001006863,0.0004278026,0.001128923,0.0002283619,0.0009975954,0.001412001,0.00002234404,0.00002479526,0.0000233393,0.00004308236,0.994626,0.00005892876],"study_design_scores_gemma":[0.001848129,0.0002468329,0.0185421,0.00008254263,0.0005895077,0.0003247032,0.00003871137,0.00009422958,0.000001047148,0.0001814343,0.9760982,0.001952499],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002873988,0.0004381927,0.00007829187,0.0001504002,0.001227649,0.001731111,0.9960441,0.0001422918,0.0001592247],"genre_scores_gemma":[0.00001078151,0.0004502554,0.0005999976,0.0006358695,0.001092223,0.0002084461,0.9957108,0.0004078418,0.0008837562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1326063,"threshold_uncertainty_score":0.9995139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0513633954614095,"score_gpt":0.3340079076219015,"score_spread":0.282644512160492,"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."}}