{"id":"W6901561900","doi":"10.6068/dp14ba8e083bd92","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Education, Training and Learning - Educational Attainment | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 15 years and over, Not in labour force, Total, all education levels, Females, Immigrants, landed 5 or less years earlier | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-070.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Educational attainment; Census; Statistics education; Immigration; Socioeconomic status; Official statistics; Economic statistics; Statistical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00271821,0.002427933,0.002822881,0.008308381,0.003326541,0.004592283,0.00528296,0.001480717,0.0880188],"category_scores_gemma":[0.02065005,0.001880615,0.002346575,0.03981297,0.0006698524,0.002447654,0.002369565,0.003277366,0.04669148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05646525,"about_ca_system_score_gemma":0.1662641,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958262,"about_ca_topic_score_gemma":0.9940877,"domain_scores_codex":[0.9949632,0.0003822669,0.0005799288,0.0005804462,0.002359368,0.001134863],"domain_scores_gemma":[0.9609905,0.001370501,0.001104948,0.001036207,0.03361303,0.001884855],"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":[0.00003087735,0.000007713752,0.001143287,0.000312442,0.00002641304,0.000007165919,0.00002652509,0.0001093464,0.00001130332,0.000385063,0.9958497,0.002090109],"study_design_scores_gemma":[0.0001936227,0.00001708763,0.03127352,0.00117432,0.0001003452,0.00003440482,0.0005698104,0.0004922884,0.0001898347,0.0007271306,0.9651226,0.0001049942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006688551,0.00008143845,0.00003694826,0.0001900013,0.00005015115,0.00002481173,0.9982999,0.00007136506,0.001178646],"genre_scores_gemma":[0.001280691,0.0005476431,0.0007294118,0.0003214082,0.00003366888,0.0002103408,0.9898574,0.0001747698,0.006844752],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9119812,"threshold_uncertainty_score":0.409686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03435740774106987,"score_gpt":0.2775397012794719,"score_spread":0.243182293538402,"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."}}