{"id":"W6967710116","doi":"10.5255/ukda-sn-9301-2","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, July - December, 2023","year":2025,"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":[0.002066609,0.0009568412,0.001206368,0.002248494,0.0008301301,0.001276773,0.001583795,0.001235058,0.05258944],"category_scores_gemma":[0.009364596,0.0006317192,0.0007335236,0.007364518,0.0001676374,0.0008833564,0.001102744,0.001413444,0.05958598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002119526,"about_ca_system_score_gemma":0.004576939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.166779,"about_ca_topic_score_gemma":0.1851798,"domain_scores_codex":[0.9983963,0.0002740939,0.0002808365,0.0002793984,0.0004570095,0.0003122799],"domain_scores_gemma":[0.9960992,0.0003819115,0.0004112576,0.0002835085,0.002562693,0.0002613888],"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":[0.00009950579,0.00002835163,0.005869588,0.0003464626,0.00003315207,0.00002123072,0.0000384265,0.0001085479,0.00003161688,0.0002266683,0.9887646,0.004431753],"study_design_scores_gemma":[0.001036328,0.0001550477,0.219042,0.000903858,0.0001355312,0.0001187235,0.0007020853,0.0006820707,0.0001572509,0.000729028,0.7762785,0.00005953783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006071749,0.0001063721,0.0000696241,0.0001565453,0.00004594369,0.00006511663,0.99754,0.00004291498,0.001366437],"genre_scores_gemma":[0.003104123,0.0002103299,0.0002392687,0.0002427582,0.00004075658,0.0008708596,0.9894888,0.00003141259,0.005771749],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.166779,"threshold_uncertainty_score":0.3316165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05511593084987644,"score_gpt":0.3474398802531256,"score_spread":0.2923239494032492,"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."}}