{"id":"W6976735238","doi":"10.6068/dp14ba8d134a978","title":"Trend 2006 - 2013. Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Table: Labour force survey estimates (LFS), by immigrant status, educational attainment, sex and age group | Variable: 25 to 54 years, Unemployment, Post-secondary certificate or diploma, Females, Total population | Units: , 2006-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","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; Census; Population; Socioeconomic status; Official statistics; Population statistics; Ethnic group; Diversity (politics); Nationality","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":[0.002710383,0.002394954,0.002829801,0.00746626,0.003240939,0.00465183,0.005309823,0.001353192,0.08784749],"category_scores_gemma":[0.01886271,0.00201587,0.002313766,0.0343283,0.0005842714,0.002360113,0.002290766,0.00332832,0.04489718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05337166,"about_ca_system_score_gemma":0.1464234,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950135,"about_ca_topic_score_gemma":0.9927993,"domain_scores_codex":[0.995496,0.0003337435,0.0005520828,0.0005325038,0.002046387,0.001039316],"domain_scores_gemma":[0.9646364,0.001192178,0.001049408,0.0008933734,0.03049296,0.001735556],"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":[0.00003568076,0.000009665356,0.001443835,0.0003007937,0.00002592775,0.00000792049,0.00002934818,0.0001036262,0.00001165716,0.000322819,0.9954045,0.002304259],"study_design_scores_gemma":[0.0002851893,0.00002328228,0.04768623,0.001561592,0.000122374,0.00004189244,0.0007270067,0.0005942978,0.0002249429,0.0008038229,0.9478137,0.0001157599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000862813,0.00007126389,0.0000333605,0.0001708384,0.00004757069,0.0000295089,0.998364,0.00006483486,0.001132349],"genre_scores_gemma":[0.001270946,0.0004829994,0.00062988,0.0002902688,0.00003139773,0.0002499383,0.9897793,0.0001600678,0.007105213],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08784749,"threshold_uncertainty_score":0.3872404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04300450787988694,"score_gpt":0.2759690327081883,"score_spread":0.2329645248283014,"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."}}