{"id":"W6949059291","doi":"10.5255/ukda-sn-8806-3","title":"Quarterly Labour Force Survey, January - March, 2021","year":2022,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Diverse Interdisciplinary Research Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Documentation; Current Population Survey; Work (physics); Population; Work force; Sample (material); Data collection","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":[0.001943609,0.0009687819,0.001187957,0.002307388,0.0007843595,0.001593325,0.001446561,0.001226193,0.05218434],"category_scores_gemma":[0.007838259,0.000595021,0.0006314986,0.005024766,0.0001758294,0.001514577,0.0009313125,0.001880272,0.07003955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002551412,"about_ca_system_score_gemma":0.004352105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1127338,"about_ca_topic_score_gemma":0.131127,"domain_scores_codex":[0.9982082,0.0002480743,0.0002559522,0.0003027299,0.0007072413,0.0002778597],"domain_scores_gemma":[0.9964557,0.0003139006,0.0002562544,0.0001475576,0.002564208,0.0002623176],"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":[0.00009109098,0.00004597058,0.009686381,0.0006242279,0.00003021214,0.00002710954,0.00007606256,0.00009336646,0.00005155738,0.0003959661,0.970134,0.018744],"study_design_scores_gemma":[0.0002217458,0.0001073445,0.2597749,0.001036325,0.00005610896,0.00008445596,0.0005092068,0.0002508823,0.00007540709,0.0003488598,0.7374957,0.00003915181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001629047,0.001048871,0.0001917044,0.000928803,0.0006079438,0.0003552626,0.9794221,0.00009692954,0.01571936],"genre_scores_gemma":[0.008200625,0.002275211,0.0005993037,0.001249391,0.0002585831,0.002380579,0.9448567,0.00007383701,0.04010572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1127338,"threshold_uncertainty_score":0.2241553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04263706840749897,"score_gpt":0.3150116401679233,"score_spread":0.2723745717604243,"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."}}