{"id":"W6892659513","doi":"10.5255/ukda-sn-3937-1","title":"Quarterly Labour Force Survey Household Dataset, March - May, 1992","year":2005,"lang":"en","type":"other","venue":"UK Data Archive","topic":"","field":"","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":[0.001782418,0.001023492,0.001404525,0.002947058,0.0007283724,0.001515946,0.001619,0.0009029146,0.04991002],"category_scores_gemma":[0.008773596,0.0005778775,0.0004898289,0.007526462,0.0001681723,0.0009911271,0.0009573687,0.001442681,0.05918722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228678,"about_ca_system_score_gemma":0.003565979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1598197,"about_ca_topic_score_gemma":0.1796964,"domain_scores_codex":[0.9986839,0.0002181463,0.0002211604,0.0002465887,0.0004380372,0.0001921598],"domain_scores_gemma":[0.9963077,0.0004347501,0.0004014579,0.000260708,0.002385248,0.0002102034],"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":[0.0000578917,0.00002328451,0.003452591,0.0002347202,0.00001986834,0.00002042156,0.00005650228,0.00009035456,0.00001676498,0.0002997966,0.9905676,0.005160321],"study_design_scores_gemma":[0.000527043,0.00007819634,0.1657399,0.0004821352,0.00007992813,0.00008385075,0.0006558548,0.0003891192,0.00009097514,0.0005655702,0.8312702,0.00003731587],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000566627,0.0001477109,0.00007833952,0.0001789748,0.00005314839,0.00009522092,0.9969661,0.00005563321,0.001858332],"genre_scores_gemma":[0.002488957,0.0003351504,0.0003029466,0.0001682486,0.0000417088,0.0007198547,0.9893754,0.00002905558,0.006538703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1598197,"threshold_uncertainty_score":0.3177789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06678761680622188,"score_gpt":0.3096332181648026,"score_spread":0.2428456013585807,"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."}}