{"id":"W6929998287","doi":"10.5255/ukda-sn-7506-6","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, July - December, 2013","year":2020,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002102074,0.000951358,0.001412635,0.002328157,0.0008989482,0.001418564,0.00194041,0.001148096,0.05889933],"category_scores_gemma":[0.01172617,0.0007386116,0.0008933721,0.006272648,0.0002157601,0.001030676,0.001463945,0.001746448,0.05729851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002167396,"about_ca_system_score_gemma":0.004568225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1648278,"about_ca_topic_score_gemma":0.1953091,"domain_scores_codex":[0.9982963,0.0003185864,0.0003006368,0.000301215,0.0004633964,0.0003198477],"domain_scores_gemma":[0.9959136,0.000422037,0.000477626,0.0003198752,0.00261455,0.0002524198],"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":[0.00008892608,0.00002937036,0.004657805,0.0003614565,0.00003588925,0.00001717765,0.00005592805,0.0001171503,0.0000200923,0.0003116321,0.9900575,0.004246991],"study_design_scores_gemma":[0.001024937,0.0001574218,0.1908952,0.001210664,0.0001650872,0.0001247065,0.0009306171,0.0007100043,0.0001494458,0.0009883216,0.8035623,0.00008120223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007813151,0.0001333351,0.0001233848,0.0002124798,0.00005914373,0.0001202477,0.9965864,0.00006622614,0.001917375],"genre_scores_gemma":[0.003916665,0.0003040585,0.0003866058,0.0003073638,0.0000615953,0.001464704,0.9863904,0.00004943664,0.007119084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1648278,"threshold_uncertainty_score":0.3277367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04642262022716905,"score_gpt":0.2833071113120796,"score_spread":0.2368844910849106,"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."}}