{"id":"W6950555762","doi":"10.5683/sp3/prrxc7","title":"Labour Force Survey, November 2012 [Canada] [Rebased 2025]","year":2023,"lang":"en","type":"dataset","venue":"Borealis","topic":"Neurological Disease Mechanisms and Treatments","field":"Neuroscience","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; Minimum wage","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":[0.003765533,0.001298053,0.001423658,0.004253432,0.003068972,0.002972792,0.003761985,0.001369547,0.03917648],"category_scores_gemma":[0.01717,0.001241502,0.001352069,0.01247702,0.0006122925,0.001614956,0.001381376,0.003843299,0.02343236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05106635,"about_ca_system_score_gemma":0.1200847,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889891,"about_ca_topic_score_gemma":0.9922397,"domain_scores_codex":[0.9948967,0.0003037449,0.0004594243,0.0004192925,0.003097773,0.0008230378],"domain_scores_gemma":[0.9767973,0.0003993102,0.0004104093,0.0003736096,0.02106604,0.0009533687],"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":[0.0000262283,0.00001256505,0.001863366,0.000274346,0.00001248216,0.00001087889,0.00005062941,0.00006086467,0.00002284198,0.0004851694,0.9893928,0.007787806],"study_design_scores_gemma":[0.00007831154,0.00002050094,0.1160025,0.0008609103,0.00004511474,0.00002794162,0.0004301689,0.0001818677,0.00007757395,0.0003144817,0.8819057,0.00005473626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007123795,0.0013692,0.0003117159,0.003036852,0.00122232,0.0007763297,0.9642605,0.0002324531,0.02807837],"genre_scores_gemma":[0.008200102,0.004860986,0.003046841,0.005486765,0.000334907,0.002389944,0.8973666,0.0002457311,0.07806814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05106635,"threshold_uncertainty_score":0.370514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05146489534268019,"score_gpt":0.2842762753393178,"score_spread":0.2328113799966376,"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."}}