{"id":"W6976516753","doi":"10.6068/dp14ba85e0f7289","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, Europe, Labour force, 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; Census; Population; Economic statistics; 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":[0.002858612,0.002406952,0.002782805,0.008270128,0.003761218,0.004935638,0.005636759,0.001380597,0.08089981],"category_scores_gemma":[0.02014359,0.001870857,0.002448156,0.03712757,0.0006465545,0.002307668,0.002679501,0.003078781,0.03992733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05613779,"about_ca_system_score_gemma":0.1539945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9961123,"about_ca_topic_score_gemma":0.9947127,"domain_scores_codex":[0.9953085,0.0003624204,0.0005522002,0.0005170189,0.002120537,0.001139434],"domain_scores_gemma":[0.9649411,0.001276728,0.001033106,0.00103406,0.02983142,0.001883602],"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":[0.00002843827,0.000007857507,0.00149332,0.0002883429,0.00002772801,0.000007393259,0.0000367635,0.00009757999,0.00001041303,0.0003850985,0.9954551,0.002161877],"study_design_scores_gemma":[0.0002217029,0.00001906653,0.04386697,0.00141453,0.0001165712,0.00003881491,0.0008743707,0.0005920174,0.0002210016,0.0008132464,0.9516937,0.0001280255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008106464,0.00006592948,0.00003196864,0.0001549155,0.00003827872,0.00002488374,0.9985759,0.00006230623,0.0009646676],"genre_scores_gemma":[0.001295932,0.0004325011,0.000647001,0.0002445407,0.00002652633,0.0002460134,0.9913297,0.0001445895,0.00563329],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08089981,"threshold_uncertainty_score":0.4073101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121591082779454,"score_gpt":0.2410930416171637,"score_spread":0.2198771307893692,"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."}}