{"id":"W6957618638","doi":"10.6068/dp14ba8d3be7f50","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, North America, Not in labour force, Females, 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; 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":[0.002779723,0.002467566,0.003004916,0.007922261,0.003692351,0.004840308,0.005757298,0.001379317,0.07755584],"category_scores_gemma":[0.01886094,0.00198142,0.002573441,0.03658311,0.0006901977,0.002329753,0.002583912,0.003267556,0.040056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0605141,"about_ca_system_score_gemma":0.1592549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9966935,"about_ca_topic_score_gemma":0.9952922,"domain_scores_codex":[0.9950404,0.000365037,0.000542284,0.0005445903,0.002286299,0.001221475],"domain_scores_gemma":[0.9624565,0.001232554,0.001119287,0.001003445,0.03223743,0.001950787],"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":[0.00003367338,0.000009716624,0.001822131,0.0002639257,0.00002941212,0.000007660473,0.00003588935,0.0001063858,0.00001097051,0.0003462952,0.9954247,0.00190943],"study_design_scores_gemma":[0.0002791209,0.00002470087,0.05560775,0.001245828,0.0001212291,0.00004130609,0.0009954713,0.0006622508,0.0002515117,0.0007241122,0.9399087,0.0001379645],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001024497,0.00006356111,0.00003054338,0.000167015,0.00004452236,0.0000247744,0.9985398,0.00006121777,0.0009661223],"genre_scores_gemma":[0.001417132,0.0003770019,0.0005417345,0.0002467906,0.00002866587,0.0002274559,0.9904456,0.0001361152,0.006579386],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07755584,"threshold_uncertainty_score":0.4390626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250102514891162,"score_gpt":0.244678061146692,"score_spread":0.2221770359977804,"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."}}