{"id":"W6948773274","doi":"10.5255/ukda-sn-5942-1","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, October 1999 - March 2000","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; Spring (device)","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":[0.00226539,0.001130553,0.001270301,0.002814165,0.0009744132,0.001538487,0.002276972,0.0015602,0.05229099],"category_scores_gemma":[0.009713062,0.0007453812,0.0005543811,0.006198175,0.0002035137,0.001068297,0.00122486,0.001645305,0.05675026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002316828,"about_ca_system_score_gemma":0.00390303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1371281,"about_ca_topic_score_gemma":0.1725862,"domain_scores_codex":[0.9985191,0.000224799,0.0002366452,0.0003046094,0.0004698214,0.000244988],"domain_scores_gemma":[0.9960536,0.0003715353,0.0005281586,0.0003265961,0.00244259,0.0002775242],"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":[0.0001752451,0.00006322317,0.006763633,0.0003241232,0.00003358641,0.0000315181,0.00008190938,0.0001749377,0.00003689787,0.0003434527,0.9860618,0.005909774],"study_design_scores_gemma":[0.00126453,0.0002003319,0.2199647,0.0006808604,0.0001181878,0.0001270971,0.0007838641,0.0007402097,0.0001689559,0.0006499232,0.7752411,0.00006023182],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001170211,0.0001130761,0.0000999765,0.0002083763,0.00006106395,0.0001429453,0.995858,0.0000666749,0.002279717],"genre_scores_gemma":[0.004407252,0.0002198068,0.0002940756,0.0002763236,0.00005372165,0.001271741,0.9832103,0.00003715417,0.01022957],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1371281,"threshold_uncertainty_score":0.2726598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06694500472933958,"score_gpt":0.331369636041256,"score_spread":0.2644246313119164,"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."}}