{"id":"W6948375537","doi":"10.5255/ukda-sn-4625-1","title":"Quarterly Labour Force Survey Household Dataset, September - November, 2002","year":2004,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Work (physics); Sample (material); Survey data collection; Northern ireland; Data collection; Work force; Data source","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":[0.001741208,0.001024912,0.00142343,0.002846191,0.0006685019,0.001483821,0.001752464,0.001012576,0.05390307],"category_scores_gemma":[0.008829752,0.0005864523,0.0005482464,0.006699302,0.0001484279,0.0009400616,0.0008970723,0.001447252,0.06910035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00174529,"about_ca_system_score_gemma":0.003154284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1131766,"about_ca_topic_score_gemma":0.1361681,"domain_scores_codex":[0.998792,0.0001920637,0.0002109081,0.0002386062,0.0004008269,0.0001656997],"domain_scores_gemma":[0.9963487,0.0004121483,0.0003808325,0.0002765392,0.002377618,0.0002041635],"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":[0.00005648248,0.00002793255,0.002969171,0.0002379201,0.0000206866,0.00002045513,0.00005024302,0.00009260559,0.00001868186,0.0002599096,0.9908279,0.005418141],"study_design_scores_gemma":[0.0005678052,0.00008837292,0.151605,0.0005596602,0.00008953854,0.0001039026,0.0006460426,0.0005059229,0.0001225437,0.0006206313,0.8450429,0.00004766339],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005710171,0.0001094787,0.00009777107,0.0001669363,0.00006849784,0.0001054214,0.9965886,0.00007355232,0.002218785],"genre_scores_gemma":[0.002568304,0.0002622771,0.0003161786,0.0002116142,0.00004957198,0.0007309397,0.9874282,0.00003732894,0.008395432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1131766,"threshold_uncertainty_score":0.2250356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05724945894192308,"score_gpt":0.2724202815950513,"score_spread":0.2151708226531282,"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."}}