{"id":"W6901583690","doi":"10.6068/dp14ba8b6706e40","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, country of birth, sex and age group | Variable: 15 years and over, Africa, Labour force, Males, Immigrants, landed more than 10 years earlier | 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; Census; Economic statistics; Population; Ethnic group; Citizenship; Diversity (politics); 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":[0.002652942,0.002343403,0.002781511,0.007873436,0.003409906,0.004752048,0.005435064,0.001329416,0.0810824],"category_scores_gemma":[0.01885282,0.001886243,0.002402316,0.03676533,0.0006323448,0.002182385,0.00250162,0.003009031,0.03971011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05478079,"about_ca_system_score_gemma":0.1498329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959585,"about_ca_topic_score_gemma":0.9943576,"domain_scores_codex":[0.9954504,0.000353934,0.0005504137,0.0005003742,0.002057955,0.001086999],"domain_scores_gemma":[0.9655861,0.001240488,0.001069765,0.0009663465,0.02924383,0.001893527],"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":[0.00003035436,0.000008839589,0.001540505,0.0002755836,0.00002740413,0.000007239695,0.00003210233,0.0001018737,0.00001036219,0.0003679193,0.9955984,0.001999359],"study_design_scores_gemma":[0.0002518204,0.00002170714,0.04736959,0.001360618,0.0001174002,0.00003979167,0.0008733675,0.0006803067,0.0002415938,0.0007993734,0.9481202,0.0001243756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008966653,0.00006123765,0.00002970472,0.0001517658,0.00003753682,0.00002297821,0.9985936,0.00006101055,0.0009523926],"genre_scores_gemma":[0.001265048,0.000371196,0.0005412457,0.0002211333,0.00002558388,0.0002082842,0.9915836,0.0001350951,0.005648774],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0810824,"threshold_uncertainty_score":0.3974643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157218361409187,"score_gpt":0.2396728780636955,"score_spread":0.2181006944496036,"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."}}