{"id":"W6948761805","doi":"10.5255/ukda-sn-8309-3","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, April - September, 2017","year":2020,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Botanical Research and Applications","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":[0.002047096,0.001005136,0.001347256,0.002353591,0.0008850705,0.001560231,0.001928278,0.001187192,0.07067773],"category_scores_gemma":[0.01187249,0.0006825706,0.0008629168,0.005819391,0.0002082418,0.001079641,0.001560356,0.00182247,0.0706967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001762231,"about_ca_system_score_gemma":0.004082473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1194989,"about_ca_topic_score_gemma":0.1385086,"domain_scores_codex":[0.9982432,0.0003574827,0.0003143441,0.0003035724,0.0004548256,0.0003264995],"domain_scores_gemma":[0.9957585,0.0004696941,0.0005145379,0.0003648055,0.002620819,0.0002715905],"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":[0.00009647635,0.00003138384,0.005064842,0.0003824339,0.00003649944,0.00002154655,0.00006743414,0.0001180584,0.00001991062,0.000377811,0.9894205,0.004363086],"study_design_scores_gemma":[0.0009770885,0.0001440359,0.139917,0.00125619,0.0001345496,0.0001107955,0.0009996759,0.0005913069,0.0001203283,0.00100898,0.8546708,0.00006925559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008737926,0.0001566291,0.0001168051,0.0002415664,0.00008426325,0.0001324695,0.9959754,0.00006644174,0.002352566],"genre_scores_gemma":[0.003754593,0.0003176868,0.0002873314,0.0002763814,0.00008099533,0.001466986,0.9858106,0.00005185436,0.007953736],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1194989,"threshold_uncertainty_score":0.2376068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1181715643655788,"score_gpt":0.344060343863066,"score_spread":0.2258887794974872,"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."}}