{"id":"W6949177337","doi":"10.5255/ukda-sn-7036-3","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, October 2011 - March 2012","year":2015,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Quarter (Canadian coin); Unemployment; Sample (material); Population; Current Population Survey; Survey data collection; Work (physics)","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":[0.001597873,0.0006499159,0.0006414715,0.0002334917,0.0001138207,0.000146986,0.003883685,0.0003483802,0.001358122],"category_scores_gemma":[0.0003487751,0.0006222127,0.0001301786,0.0001307241,0.0002970961,0.00003469471,0.00552294,0.0006615745,0.00102651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002649446,"about_ca_system_score_gemma":0.0003236779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01015697,"about_ca_topic_score_gemma":0.04422034,"domain_scores_codex":[0.9957956,0.0005877816,0.0005771809,0.001830588,0.0005091885,0.0006996279],"domain_scores_gemma":[0.9912223,0.0001016208,0.0003584475,0.007801321,0.0001989768,0.0003173376],"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":[0.00015902,0.0001277943,0.0004139757,0.00005350931,0.0004370251,0.00006876445,0.000002098281,7.568464e-7,0.00137763,0.00000199333,0.9972124,0.0001450511],"study_design_scores_gemma":[0.0004468751,0.000181783,0.001112574,0.00002447589,0.0002974117,0.00005195663,0.000006005509,0.00001490304,0.0004982798,0.00008402556,0.9965609,0.0007208502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006801862,0.0009396065,0.001612447,0.00004311174,0.00008799566,0.0004060004,0.9965441,0.00002029588,0.0002784662],"genre_scores_gemma":[0.00008849389,0.001243684,0.001499842,0.0004201558,0.0007744419,0.00004329941,0.9944841,0.000060447,0.001385569],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03406336,"threshold_uncertainty_score":0.9997513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03717594475561897,"score_gpt":0.3331182724546003,"score_spread":0.2959423276989813,"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."}}