{"id":"W6948686324","doi":"10.5255/ukda-sn-7506-4","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, July - December, 2013","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); Unemployment; Sample (material); Population; Current Population Survey; Survey data collection; Work (physics); Data collection; Survey sampling","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":[0.002531159,0.001301787,0.001960449,0.002982012,0.0008763611,0.001582319,0.002091317,0.001085611,0.09668505],"category_scores_gemma":[0.0141235,0.0009251023,0.0009830226,0.008728518,0.0002508917,0.0014841,0.001758838,0.002019714,0.09447798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00263954,"about_ca_system_score_gemma":0.005903744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1322235,"about_ca_topic_score_gemma":0.126731,"domain_scores_codex":[0.9979711,0.0003521296,0.0003672575,0.0003451113,0.0005789724,0.0003853471],"domain_scores_gemma":[0.9949386,0.0006270105,0.0004649683,0.000415449,0.003282943,0.0002710798],"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":[0.00005330638,0.00001570946,0.001433402,0.0002689692,0.00001826519,0.00001060995,0.00003067241,0.00006271905,0.00001626736,0.0002526276,0.9950154,0.002821967],"study_design_scores_gemma":[0.0007375986,0.00009575501,0.08290732,0.001139569,0.000101722,0.00008305973,0.0005907982,0.0004016535,0.0001454834,0.001050285,0.9126732,0.00007350752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002241725,0.0000483557,0.00008656237,0.000102325,0.00005694782,0.00007169235,0.9982844,0.00005373397,0.001071882],"genre_scores_gemma":[0.001328343,0.0001725708,0.0003382968,0.0001678527,0.00004554314,0.001200663,0.9918002,0.0000576694,0.004888834],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1322235,"threshold_uncertainty_score":0.3234437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08133232331031716,"score_gpt":0.3656913486016763,"score_spread":0.2843590252913592,"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."}}