{"id":"W6948678239","doi":"10.5255/ukda-sn-8845-1","title":"Quarterly Labour Force Survey, May - July, 2021","year":2021,"lang":"en","type":"other","venue":"UK Data Archive","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Unemployment; Documentation; Current Population Survey; Work (physics); Population; Sample (material); Work force; 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":[0.001844981,0.0009437051,0.00112001,0.00220713,0.0007383096,0.001605289,0.001358232,0.001148899,0.06533535],"category_scores_gemma":[0.006950493,0.0005576422,0.0005894231,0.004555913,0.0001665808,0.001377655,0.000904149,0.001756697,0.09262171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00233809,"about_ca_system_score_gemma":0.004130051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09847477,"about_ca_topic_score_gemma":0.1162772,"domain_scores_codex":[0.9983932,0.0002229909,0.0002229536,0.0002744069,0.0006383719,0.0002479779],"domain_scores_gemma":[0.996726,0.0002886108,0.0002178387,0.0001447458,0.002392605,0.0002301349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007698401,0.00003756083,0.006701343,0.0004492359,0.0000205825,0.00002082643,0.00005694126,0.00007493365,0.00004466925,0.0003760997,0.9743915,0.01774945],"study_design_scores_gemma":[0.0001819195,0.00008928763,0.1820466,0.0008105457,0.00004145692,0.00007114416,0.0004063912,0.0002152954,0.00007231304,0.0003358214,0.8156976,0.00003171013],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001317071,0.000907811,0.0002125949,0.0009010677,0.0006304111,0.0003510537,0.9756373,0.0001075418,0.01993522],"genre_scores_gemma":[0.006471043,0.002029938,0.000616583,0.001187787,0.0002595808,0.00221976,0.9339104,0.00008146502,0.05322352],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09847477,"threshold_uncertainty_score":0.2185685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580039268236306,"score_gpt":0.2932172561967861,"score_spread":0.277416863514423,"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."}}