{"id":"W6930209038","doi":"10.5255/ukda-sn-6727-36","title":"Quarterly Labour Force Survey, 1992-2022: Secure Access","year":2023,"lang":"en","type":"dataset","venue":"UK Data Archive","topic":"Material Selection and Properties","field":"Materials 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; Rest (music); Work force; Official statistics","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":[0.002195477,0.001230243,0.001265042,0.002904968,0.000623263,0.001397525,0.001330556,0.0009915682,0.04583184],"category_scores_gemma":[0.008731412,0.0007047212,0.000542865,0.009262604,0.0001883808,0.001427227,0.001251138,0.00140487,0.06452683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001912955,"about_ca_system_score_gemma":0.003489416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09207705,"about_ca_topic_score_gemma":0.08219675,"domain_scores_codex":[0.9979273,0.0003543118,0.0003992847,0.0003318765,0.0006847017,0.0003024685],"domain_scores_gemma":[0.9948123,0.0005171598,0.0007005364,0.0003261256,0.003245187,0.0003986644],"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":[0.0002360174,0.00008984577,0.02410408,0.0007801605,0.00004434406,0.0000456815,0.0001354529,0.0001873508,0.0001128437,0.0003152394,0.9549853,0.0189636],"study_design_scores_gemma":[0.0004519061,0.0001368314,0.4742175,0.0006631817,0.00005856496,0.0000939885,0.0006067587,0.0004282692,0.0001475277,0.0003304148,0.5228207,0.00004438475],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002039855,0.0002150592,0.0001091693,0.0002885739,0.00008479568,0.0002079347,0.9924216,0.0001039863,0.004529001],"genre_scores_gemma":[0.008040464,0.0006815814,0.0004711713,0.0003961731,0.00009398779,0.001973434,0.9735196,0.00007100852,0.01475261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09207705,"threshold_uncertainty_score":0.1830822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06531557580822993,"score_gpt":0.3227229497925728,"score_spread":0.2574073739843429,"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."}}