{"id":"W6967518865","doi":"10.5255/ukda-sn-5927-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2002","year":2015,"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":[0.002085797,0.001091072,0.001360981,0.00223779,0.0009045584,0.001493986,0.00202095,0.001337818,0.04584662],"category_scores_gemma":[0.01013635,0.0007855073,0.0006174592,0.006338105,0.0001711227,0.0009924193,0.001044164,0.001711194,0.05160107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101536,"about_ca_system_score_gemma":0.004004182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1565859,"about_ca_topic_score_gemma":0.1992092,"domain_scores_codex":[0.9984836,0.0002668443,0.000261266,0.0003146976,0.0004342197,0.0002394059],"domain_scores_gemma":[0.9955177,0.0004158948,0.0005247527,0.0003786189,0.002888799,0.0002742459],"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":[0.0001252509,0.00004347735,0.005986366,0.0003486522,0.0000344959,0.00002780386,0.00007657712,0.0001230216,0.00003048343,0.0002496086,0.9880611,0.004893227],"study_design_scores_gemma":[0.001101104,0.0001681089,0.2410659,0.0007698021,0.0001451806,0.0001375556,0.0008468982,0.0005964609,0.0001530997,0.0005666735,0.7543839,0.00006530478],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009487257,0.0001326543,0.00009828947,0.0002109969,0.00006275187,0.0001265937,0.9963759,0.00006495015,0.001979109],"genre_scores_gemma":[0.004565064,0.0002919534,0.0003157919,0.0003324966,0.00005584072,0.001282016,0.9832745,0.00004476537,0.0098375],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1565859,"threshold_uncertainty_score":0.3113489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08324197761723257,"score_gpt":0.3410041679713336,"score_spread":0.257762190354101,"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."}}