{"id":"W6932074972","doi":"10.5683/sp3/ohsmb7","title":"Labour Force Survey, July 2022 [Canada] [Rebased 2025]","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Unemployment; Current Population Survey; Government (linguistics); Wage; Population; Descriptive statistics; Survey data collection; Unemployment rate","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003780629,0.001242372,0.001117504,0.003478859,0.002856069,0.003077053,0.003343927,0.001686269,0.04506822],"category_scores_gemma":[0.01511867,0.001159944,0.001257308,0.008315098,0.0006109031,0.001550826,0.001395383,0.003807496,0.02936528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0456168,"about_ca_system_score_gemma":0.1225873,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866369,"about_ca_topic_score_gemma":0.9903033,"domain_scores_codex":[0.9953873,0.0002847833,0.000382122,0.0003375016,0.002772988,0.0008354821],"domain_scores_gemma":[0.9810121,0.0003347848,0.0002995793,0.0003033192,0.01704319,0.001007],"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":[0.00002081435,0.000009947968,0.001243232,0.0001647629,0.000008262033,0.000009639805,0.00003307875,0.00004881808,0.00001955397,0.0004617532,0.9906508,0.007329336],"study_design_scores_gemma":[0.0000484146,0.00001510481,0.06286434,0.0005365661,0.00002705707,0.00002015238,0.0002727663,0.0001189187,0.00005558998,0.0002554972,0.9357514,0.00003421531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008766286,0.002300901,0.0004743144,0.00631266,0.002610362,0.0009637566,0.9295023,0.0003390987,0.05661985],"genre_scores_gemma":[0.00970776,0.00597484,0.003546824,0.009787567,0.0004947252,0.002292531,0.8282254,0.0003277088,0.1396426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0456168,"threshold_uncertainty_score":0.3309746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01004829055899174,"score_gpt":0.2631764547599835,"score_spread":0.2531281642009918,"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."}}