{"id":"W6931904058","doi":"10.5683/sp3/w4ax9e","title":"Labour Force Survey, September 2021 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Unemployment; Current Population Survey; Government (linguistics); Population; Wage; Descriptive statistics; Discouraged worker; Survey data collection","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":[0.004175792,0.001258848,0.00115351,0.003823132,0.00313741,0.003226345,0.003696757,0.001743011,0.04718928],"category_scores_gemma":[0.01668903,0.00114519,0.001280221,0.008736134,0.0006193158,0.001640913,0.001479309,0.00402321,0.03029636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05015782,"about_ca_system_score_gemma":0.1314639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9872801,"about_ca_topic_score_gemma":0.9901362,"domain_scores_codex":[0.9949526,0.000308014,0.0003946496,0.0003784045,0.003025705,0.0009407101],"domain_scores_gemma":[0.9797574,0.000370369,0.0003330882,0.0003209845,0.01805089,0.001167289],"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":[0.00002104667,0.00001059884,0.001305584,0.0001804215,0.000008501327,0.000009878372,0.00003767409,0.00005118563,0.00001956199,0.0005237745,0.989454,0.008377772],"study_design_scores_gemma":[0.00004625846,0.00001538189,0.0662313,0.0005560844,0.00002642564,0.00001940965,0.0002768022,0.0001218988,0.00005374193,0.0002647991,0.9323522,0.00003578161],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008875091,0.002228619,0.0004658691,0.006378506,0.002555175,0.001017552,0.9348946,0.0003317543,0.05124044],"genre_scores_gemma":[0.009380377,0.00594682,0.003562507,0.009740705,0.0005069966,0.00249674,0.8360871,0.0003233301,0.1319555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05015782,"threshold_uncertainty_score":0.3639222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242072878317565,"score_gpt":0.2343141264698025,"score_spread":0.2218933976866269,"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."}}