{"id":"W6957586435","doi":"10.6068/dp14ba8880dfd4","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: 15 years and over, Asia, Employment, Females, Landed immigrants | 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":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Socioeconomic status; Population; 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":[0.002585011,0.002408889,0.002931404,0.007243389,0.003417856,0.004890891,0.005604511,0.001400784,0.08985351],"category_scores_gemma":[0.01909547,0.002020337,0.002319552,0.03533754,0.0006029406,0.002425331,0.002419134,0.003342897,0.04689883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05119005,"about_ca_system_score_gemma":0.1403316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948965,"about_ca_topic_score_gemma":0.9928565,"domain_scores_codex":[0.9954874,0.0003382551,0.0005417309,0.0005472092,0.002001353,0.001083951],"domain_scores_gemma":[0.9656644,0.001188135,0.001060974,0.0009425954,0.02935261,0.001791162],"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":[0.00003496906,0.000008992881,0.001442459,0.0002715132,0.00002516907,0.000007514593,0.00002996444,0.00009530019,0.00001058981,0.0003175992,0.995759,0.001996945],"study_design_scores_gemma":[0.0002998426,0.00002294272,0.04601148,0.001540535,0.0001183884,0.00004174588,0.0008013085,0.0005862238,0.0002274045,0.0008411427,0.9493889,0.0001200948],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008039778,0.00005814587,0.00002968838,0.0001505925,0.0000402167,0.00002668973,0.9985716,0.0000588062,0.0009838502],"genre_scores_gemma":[0.001175146,0.0004016874,0.0005616781,0.0002569353,0.00002852622,0.0002416598,0.9910221,0.0001473462,0.006165045],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08985351,"threshold_uncertainty_score":0.3714116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316027143751658,"score_gpt":0.247836295668484,"score_spread":0.2246760242309674,"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."}}