{"id":"W6976296371","doi":"10.6068/dp14ba8a5963a83","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Integration of Newcomers | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Employment, No degree, certificate or diploma, Males, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-093.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Official statistics; Socioeconomic status; Population; Census; Statistics education; Social statistics; Economic statistics; Ethnic group; Population statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.002635876,0.002399618,0.002714514,0.008271066,0.003305572,0.004708596,0.005391859,0.001355987,0.07981433],"category_scores_gemma":[0.01927862,0.001836961,0.002223535,0.03745453,0.0006340415,0.00221243,0.002627918,0.003008993,0.04139546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05024405,"about_ca_system_score_gemma":0.1351314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950753,"about_ca_topic_score_gemma":0.993353,"domain_scores_codex":[0.9956506,0.0003352916,0.0005082422,0.0005113076,0.001947645,0.001046942],"domain_scores_gemma":[0.9682767,0.00131515,0.001077829,0.001051098,0.02650306,0.001776049],"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":[0.00002524145,0.000007476972,0.001306255,0.0002435617,0.00002412123,0.000006578726,0.00002976684,0.0001036249,0.000009611872,0.0003489398,0.9961429,0.001751831],"study_design_scores_gemma":[0.0002202681,0.00001675939,0.03749924,0.001158832,0.00009427745,0.00003452496,0.0007183627,0.0006319323,0.0002108003,0.0007820412,0.9585194,0.0001134128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006668617,0.00004649841,0.00002649018,0.0001198064,0.0000294132,0.00001757666,0.9989152,0.00005685592,0.0007214769],"genre_scores_gemma":[0.000919093,0.0002803452,0.0004527046,0.0001622619,0.00001962548,0.0001648602,0.9938094,0.0001158071,0.004075922],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07981433,"threshold_uncertainty_score":0.3645478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06307866529294526,"score_gpt":0.2830952970078779,"score_spread":0.2200166317149326,"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."}}