{"id":"W6976223792","doi":"10.6068/dp14baa3c962f28","title":"Most Recent Data (1996). Statistics Canada. CANSIM: Ethnic Diversity and Immigration - Immigrants and Nonpermanent Residents | Country: Canada | Province: British Columbia | Table: Immigrant population as a proportion of total population and proportion of immigrants who arrived from 1981 to 1996 | Variable: Immigrant population | Units: %, 1996. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-092.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Population; Socioeconomic status; Population statistics; Official statistics; Ethnic group; Demographic 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":[0.002504542,0.002427274,0.002809604,0.007562404,0.003605299,0.005040029,0.005627727,0.001482891,0.1069935],"category_scores_gemma":[0.01972016,0.001815011,0.001928853,0.0408293,0.0006625399,0.002419787,0.002359215,0.003381158,0.06484012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05581123,"about_ca_system_score_gemma":0.1322824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934141,"about_ca_topic_score_gemma":0.9908407,"domain_scores_codex":[0.9954615,0.0002684016,0.0005487123,0.0005538503,0.002098437,0.001069042],"domain_scores_gemma":[0.9589348,0.00143991,0.001138186,0.001069714,0.03541972,0.001997613],"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":[0.00002437523,0.00000836511,0.001079133,0.0002185664,0.00001353042,0.000006747708,0.00002538319,0.0000810464,0.000008155086,0.0002102314,0.9969307,0.001393769],"study_design_scores_gemma":[0.0002312263,0.00001464923,0.03914328,0.001033948,0.00006442783,0.00002511749,0.0006475311,0.0002659701,0.0001760497,0.0005110991,0.957804,0.00008289227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005472302,0.00003423565,0.00001296439,0.00009408149,0.00002251999,0.00001628548,0.9988884,0.00003418351,0.0008425978],"genre_scores_gemma":[0.000798214,0.0002553199,0.0003052721,0.0001412649,0.00001715276,0.0001931962,0.9928513,0.00008802894,0.005350368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1069935,"threshold_uncertainty_score":0.4049407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406762119240109,"score_gpt":0.2449101483890179,"score_spread":0.2208425271966168,"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."}}