{"id":"W6929893124","doi":"10.5255/ukda-sn-8236-1","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2017","year":2017,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","insufficient_payload"],"category_scores_codex":[0.004264331,0.001934652,0.00202984,0.0009352259,0.001353022,0.001424976,0.0231998,0.0005093168,0.001735234],"category_scores_gemma":[0.002899756,0.001896546,0.0002223044,0.0002826193,0.001437964,0.002336732,0.0157754,0.003059195,0.1051805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001424987,"about_ca_system_score_gemma":0.001039293,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04678505,"about_ca_topic_score_gemma":0.283868,"domain_scores_codex":[0.9884551,0.001780983,0.001345634,0.004421839,0.001785985,0.002210423],"domain_scores_gemma":[0.9607453,0.00155292,0.002189305,0.03442555,0.0001910895,0.0008958498],"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":[0.0006344226,0.0003055464,0.0009750537,0.0002669716,0.0009266315,0.001634181,0.0000171085,0.000003497895,0.00001778058,0.00002893878,0.9951292,0.00006063061],"study_design_scores_gemma":[0.001932423,0.0001240582,0.03392094,0.0003814154,0.0007439807,0.0003183927,0.00001361229,0.00008616072,0.000002304974,0.0003454733,0.9600918,0.002039487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001849364,0.0003690842,0.000124639,0.00008705201,0.002096525,0.001435336,0.9950168,0.0001322563,0.000719841],"genre_scores_gemma":[0.00002834701,0.000435908,0.0008528416,0.0002786162,0.001904751,0.00009707627,0.9948285,0.0002799707,0.001294054],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2370829,"threshold_uncertainty_score":0.9999471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09106693904931068,"score_gpt":0.3719435269585789,"score_spread":0.2808765879092682,"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."}}