{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003180096,0.0003045735,0.0003538873,0.0001048751,0.0000581801,0.00005534407,0.0003315825,0.0002803807,0.0001725038],"category_scores_gemma":[0.0001710173,0.0003008185,0.00008766922,0.0002850319,0.00003258806,0.00002752754,0.00006636927,0.0003339403,0.0002493692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001669969,"about_ca_system_score_gemma":0.0002453334,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7804579,"about_ca_topic_score_gemma":0.9781831,"domain_scores_codex":[0.9985836,0.00007520274,0.0003546332,0.0002580085,0.0003726917,0.0003558237],"domain_scores_gemma":[0.9986388,0.0003089459,0.00006030101,0.000714229,0.0001321313,0.000145578],"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":[0.0000020824,0.000009652752,0.00001686074,0.0002371508,0.00007247872,0.00002832103,0.000003825488,0.01257124,0.000001667594,0.00001729223,0.9869648,0.00007457978],"study_design_scores_gemma":[0.0001541856,0.0000134793,0.004649031,0.00005588258,0.00002974776,0.000001145878,0.000008894462,0.0009368203,0.000008340173,0.00005063959,0.9937382,0.0003535994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001609154,0.0001781935,0.00006780795,0.00009253552,0.0009780005,0.0001981881,0.9979002,0.00009163752,0.0004772817],"genre_scores_gemma":[0.00001208238,0.0003032883,0.00008410341,0.000108873,0.0001785033,0.00003139007,0.9961023,0.00007568437,0.003103714],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1977252,"threshold_uncertainty_score":0.9999444,"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."}}