{"id":"W6911107663","doi":"10.5255/ukda-sn-7909-6","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, July 2010 - June 2018: Secure Access","year":2018,"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); Survey data collection; Work (physics); Survey sampling; Survey methodology; Data collection","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":[0.002132888,0.001173543,0.00135952,0.002609665,0.0007723844,0.001511319,0.001741672,0.001180779,0.1307514],"category_scores_gemma":[0.0140706,0.0007521735,0.0006912922,0.006510417,0.0001931235,0.001408096,0.001723435,0.001384514,0.1167167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001660707,"about_ca_system_score_gemma":0.003780949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08309558,"about_ca_topic_score_gemma":0.09524188,"domain_scores_codex":[0.9983389,0.0003097209,0.0003325756,0.0002698344,0.0004307112,0.0003182866],"domain_scores_gemma":[0.9949396,0.0006778562,0.0006052156,0.0004659242,0.002962888,0.0003485277],"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":[0.00005107312,0.00001381846,0.001245213,0.0002328068,0.00001127282,0.00001105066,0.00003237381,0.00004526028,0.00001500465,0.0001692555,0.9955199,0.002652883],"study_design_scores_gemma":[0.0005170109,0.00008111115,0.06081605,0.001020964,0.00005913475,0.0000615675,0.0005268215,0.000272477,0.0001069475,0.0007514552,0.9357356,0.0000507448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002841537,0.00005224386,0.00007020961,0.0001176495,0.00005433533,0.0000645224,0.9979513,0.00007125032,0.001334369],"genre_scores_gemma":[0.001740959,0.0001590702,0.0002739309,0.0001682335,0.00005904267,0.001072072,0.9896439,0.00005922149,0.006823533],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1307514,"threshold_uncertainty_score":0.437407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07632726643370877,"score_gpt":0.3527123132780315,"score_spread":0.2763850468443227,"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."}}