{"id":"W6938895166","doi":"10.6068/dp14ba8b435cf2","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, country of birth, sex and age group | Variable: 25 to 54 years, Total population, Participation rate, 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); American Community Survey","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":[0.002746492,0.002394792,0.002868578,0.007527569,0.003241218,0.004664481,0.005424838,0.001372393,0.09008011],"category_scores_gemma":[0.01999005,0.001997179,0.002258745,0.03530962,0.000590945,0.002371019,0.002401732,0.003309669,0.04594938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04988204,"about_ca_system_score_gemma":0.1337862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941936,"about_ca_topic_score_gemma":0.9919172,"domain_scores_codex":[0.9955597,0.0003463622,0.0005465212,0.0005404155,0.001964395,0.001042567],"domain_scores_gemma":[0.9657938,0.001306481,0.001100487,0.0009711149,0.02905792,0.001770124],"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":[0.0000315037,0.000008568582,0.001329096,0.0002627499,0.00002357582,0.000007041557,0.00002900862,0.00009428421,0.000009948756,0.0003025592,0.9959956,0.001905989],"study_design_scores_gemma":[0.0002975904,0.00002165335,0.04462494,0.001511391,0.0001112049,0.00004007444,0.0007370168,0.0005799804,0.000212047,0.0008596588,0.9508885,0.0001159555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007299052,0.00005145814,0.00002916221,0.0001405625,0.00003696073,0.00002588734,0.9986884,0.00005727293,0.00089736],"genre_scores_gemma":[0.001035076,0.0003574275,0.0005397004,0.0002291359,0.00002622314,0.0002460974,0.9920494,0.000139271,0.005377743],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09008011,"threshold_uncertainty_score":0.3619213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02599002821575984,"score_gpt":0.260346417972577,"score_spread":0.2343563897568172,"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."}}