{"id":"W6948491176","doi":"10.5255/ukda-sn-8672-1","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2020","year":2020,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005495821,0.0005492006,0.0006127853,0.0001521286,0.0003829173,0.0002844083,0.004059066,0.00017037,0.01451415],"category_scores_gemma":[0.0001932499,0.000512086,0.00009073258,0.0003003,0.0003037846,0.0006149734,0.0009066378,0.0009776957,0.01956336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005358783,"about_ca_system_score_gemma":0.0002091934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04719561,"about_ca_topic_score_gemma":0.2171436,"domain_scores_codex":[0.9964008,0.0004847016,0.0004276422,0.001492263,0.0005342409,0.0006603226],"domain_scores_gemma":[0.9959859,0.0008125644,0.0002822035,0.00240065,0.00002573786,0.0004929939],"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":[0.0002579986,0.00002299711,0.03454333,0.00008241649,0.0001872886,0.0006265074,0.0000159916,0.0000153416,9.413174e-8,0.000001025946,0.9638795,0.0003674791],"study_design_scores_gemma":[0.0004955989,0.0001156209,0.1061942,0.00003105605,0.0001405131,0.00005242772,0.0000411202,0.0002801852,3.044215e-7,0.00004506353,0.8920367,0.0005671915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005384672,0.0001732512,0.00009567257,0.0002543685,0.0009589068,0.0003994006,0.9973997,0.00003320858,0.0006315719],"genre_scores_gemma":[0.0002127003,0.0003366359,0.0006875213,0.001564412,0.0007683059,0.00000130783,0.9963394,0.000005547217,0.00008419808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.169948,"threshold_uncertainty_score":0.9997331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08336973972184926,"score_gpt":0.2501431468792823,"score_spread":0.1667734071574331,"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."}}