{"id":"W6911126699","doi":"10.5255/ukda-sn-9132-1","title":"Labour Force Survey Two-Quarter Longitudinal Dataset, January - June, 2023","year":2023,"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":[0.002017717,0.000933888,0.00120837,0.002185326,0.0008394144,0.001258777,0.001542973,0.001236974,0.05032138],"category_scores_gemma":[0.009306332,0.0006194028,0.0007386646,0.006978524,0.0001611997,0.0009133318,0.001096238,0.001410876,0.05526139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002176904,"about_ca_system_score_gemma":0.004694574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1734975,"about_ca_topic_score_gemma":0.1990909,"domain_scores_codex":[0.99839,0.0002693438,0.0002820217,0.0002872831,0.0004570994,0.0003142224],"domain_scores_gemma":[0.9962426,0.0003582372,0.0003941662,0.0002662186,0.002482965,0.0002558041],"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":[0.0001100767,0.00002915535,0.0063434,0.0004087826,0.00003724012,0.00002326732,0.0000425724,0.000112453,0.00003379865,0.0002480519,0.9876412,0.004970084],"study_design_scores_gemma":[0.001031119,0.0001608356,0.2305348,0.0009901918,0.0001476606,0.0001203559,0.000719418,0.000643256,0.0001506361,0.0007253035,0.7647146,0.00006181317],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006426123,0.0001289116,0.00007220439,0.000171084,0.00005128889,0.00007022377,0.997301,0.00004229903,0.001520377],"genre_scores_gemma":[0.00342623,0.0002615817,0.0002508879,0.0002741003,0.00004654985,0.0009219375,0.9884272,0.00003168928,0.006359892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1734975,"threshold_uncertainty_score":0.3449753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07572244307640998,"score_gpt":0.3455709150578821,"score_spread":0.2698484719814721,"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."}}