{"id":"W6911177640","doi":"10.5255/ukda-sn-5977-1","title":"Labour Force Survey Five-Quarter Longitudinal Dataset, January 1998 - March 1999","year":2008,"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); 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":[0.001974931,0.0009522194,0.001222712,0.002487565,0.0008529299,0.001326449,0.002069914,0.001199727,0.05109442],"category_scores_gemma":[0.009660649,0.0006641112,0.0005406224,0.006187982,0.0001763823,0.001017717,0.00107118,0.001366272,0.05147487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002007236,"about_ca_system_score_gemma":0.003307406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1211974,"about_ca_topic_score_gemma":0.1456016,"domain_scores_codex":[0.9985152,0.00023428,0.0002611312,0.0003011136,0.0004666497,0.0002216837],"domain_scores_gemma":[0.996393,0.0003595506,0.0005334352,0.0003017348,0.002194005,0.0002182204],"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":[0.0001674611,0.00005308952,0.007865489,0.0003573385,0.00003867834,0.00003204566,0.00008158771,0.0001543826,0.00003204059,0.0003683633,0.9846259,0.006223658],"study_design_scores_gemma":[0.001085867,0.0001722161,0.2223537,0.0007333274,0.0001264847,0.000120069,0.0007714118,0.000582675,0.0001465727,0.0006392668,0.7732124,0.00005600472],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001121053,0.0001310213,0.00009563012,0.0001916937,0.00006003094,0.0001272867,0.9961835,0.00005861019,0.002031259],"genre_scores_gemma":[0.004800953,0.0002944513,0.0003122144,0.0002406627,0.00005406033,0.001200449,0.984411,0.00003716604,0.008649084],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1211974,"threshold_uncertainty_score":0.2409838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06136362890279924,"score_gpt":0.317842127379948,"score_spread":0.2564784984771488,"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."}}