{"id":"W6967884426","doi":"10.5255/ukda-sn-8041-3","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2016","year":2019,"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); Unemployment; Sample (material); Current Population Survey; Population; Survey data collection; Work (physics); Data collection; Survey sampling","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":[0.001736669,0.001025227,0.001370547,0.002152573,0.000819868,0.001293899,0.001595446,0.0009626971,0.05548934],"category_scores_gemma":[0.01033105,0.0006762384,0.0007897696,0.005991463,0.0001817883,0.001118487,0.001315183,0.001651353,0.05317984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001694727,"about_ca_system_score_gemma":0.004130972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1136561,"about_ca_topic_score_gemma":0.1423846,"domain_scores_codex":[0.9986483,0.0002279215,0.0002493799,0.0002615172,0.0003595379,0.0002532634],"domain_scores_gemma":[0.9967436,0.0003302043,0.0004025719,0.0002806398,0.002040717,0.0002021905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009590013,0.00002379844,0.005411169,0.0004463491,0.00003651769,0.0000182379,0.0000586841,0.0001007563,0.000028629,0.0003623622,0.9893944,0.004023142],"study_design_scores_gemma":[0.0009775766,0.0001246368,0.152412,0.00149068,0.0001635778,0.0001109554,0.0008776025,0.0004675674,0.0001622214,0.001074467,0.8420731,0.00006558459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007273444,0.000127706,0.0000842993,0.0001421147,0.00006582376,0.00006355264,0.9971174,0.00004762461,0.001624238],"genre_scores_gemma":[0.003655029,0.0003489506,0.0002680325,0.0002055365,0.00006094624,0.0008920183,0.9870765,0.00004313409,0.007449855],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1136561,"threshold_uncertainty_score":0.2259891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06414230399160625,"score_gpt":0.3350174755441327,"score_spread":0.2708751715525264,"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."}}