{"id":"W6957857717","doi":"10.6068/dp14ba7f79b0b73","title":"Trend 1972 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: International migrants, by age group and sex, provinces, and territories | Variable: 71 years, Immigrants, Females | Units: # Persons, 1972-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-160.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Population; Population statistics; Demographic statistics; Summary statistics; Economic statistics; Socioeconomic status; Social 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":[0.002085321,0.002232009,0.002556245,0.007143834,0.003148424,0.004570511,0.00488092,0.001258366,0.1116955],"category_scores_gemma":[0.01711399,0.001559657,0.001889862,0.03555072,0.0006117049,0.002334336,0.002469441,0.002957637,0.05757428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04478389,"about_ca_system_score_gemma":0.1177194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941468,"about_ca_topic_score_gemma":0.9919508,"domain_scores_codex":[0.996747,0.0002556753,0.0003726395,0.00042893,0.001446504,0.0007492067],"domain_scores_gemma":[0.9739489,0.0009148402,0.000678745,0.0007968026,0.02224099,0.001419846],"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":[0.0000205551,0.000005809496,0.000934577,0.0002204885,0.00001853098,0.000007026253,0.00002879602,0.000114943,0.000008454055,0.0003743106,0.9961472,0.002119462],"study_design_scores_gemma":[0.0001730176,0.00001306106,0.02291854,0.000950625,0.00006278468,0.00003278234,0.0005510069,0.0005911433,0.000157867,0.000842989,0.9736143,0.00009191088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005887227,0.00005637451,0.00004397395,0.0001372705,0.00003760204,0.00002344295,0.9983749,0.00008693757,0.001180573],"genre_scores_gemma":[0.001189777,0.0003793089,0.0006719358,0.0002002609,0.00002592262,0.0002160978,0.9917324,0.0001880298,0.00539618],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1116955,"threshold_uncertainty_score":0.3736585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667837267670783,"score_gpt":0.2350982072554252,"score_spread":0.2184198345787174,"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."}}