{"id":"W6948748166","doi":"10.5255/ukda-sn-7586-4","title":"Quarterly Labour Force Survey Household Dataset, April - June, 2014","year":2019,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","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":[0.001765347,0.0009060407,0.00128213,0.002766154,0.0006911776,0.001409118,0.001650754,0.0008915833,0.0790086],"category_scores_gemma":[0.01099996,0.0005464731,0.0007374901,0.006278024,0.0001825462,0.001044661,0.001283907,0.001467086,0.08208077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001456447,"about_ca_system_score_gemma":0.00325513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09169145,"about_ca_topic_score_gemma":0.1034785,"domain_scores_codex":[0.9984972,0.0002810264,0.0002554381,0.0002661679,0.0004727439,0.0002273491],"domain_scores_gemma":[0.9962149,0.0004670848,0.0003990753,0.0002929708,0.002408567,0.0002173848],"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":[0.00003962344,0.00001966059,0.002417998,0.0002434672,0.00002050664,0.00001307949,0.0000416517,0.00008541214,0.00001248258,0.0003241325,0.9922689,0.004513096],"study_design_scores_gemma":[0.0004185928,0.00006918782,0.09275763,0.0007377663,0.00007673733,0.00008150965,0.0006714108,0.0004097662,0.00008337435,0.0009036436,0.9037437,0.00004660457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005340917,0.0001231615,0.000134289,0.0001807153,0.00007465397,0.0001057883,0.996176,0.00007549464,0.002595849],"genre_scores_gemma":[0.002335799,0.0002798387,0.0003581463,0.0002103906,0.00006240576,0.0008304228,0.9886121,0.00004171771,0.007269224],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09169145,"threshold_uncertainty_score":0.2643101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07456132674350495,"score_gpt":0.2193984408985198,"score_spread":0.1448371141550148,"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."}}