{"id":"W6976579798","doi":"10.6068/dp14ba7fc6e4b26","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: 43 years, Immigrants, Both sexes | 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; Socioeconomic status; Economic statistics; 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":[0.002205064,0.002277137,0.002600844,0.007346247,0.00317826,0.004609172,0.004959256,0.001277602,0.1146305],"category_scores_gemma":[0.01762312,0.00163159,0.001962356,0.03645989,0.000618464,0.002403517,0.002490137,0.00304187,0.05769552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04649176,"about_ca_system_score_gemma":0.1220808,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994292,"about_ca_topic_score_gemma":0.9919527,"domain_scores_codex":[0.9965476,0.0002742983,0.0004011294,0.0004468293,0.001553693,0.0007764014],"domain_scores_gemma":[0.9719809,0.0009629169,0.0007121214,0.000836089,0.02403849,0.001469521],"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":[0.00002178729,0.00000610163,0.0009662338,0.0002367939,0.00001966924,0.000007151286,0.00002998654,0.0001172299,0.000008784747,0.0003798681,0.9959747,0.002231701],"study_design_scores_gemma":[0.0001740036,0.00001332778,0.0236118,0.0009696752,0.00006516524,0.00003302592,0.0005617978,0.0005764918,0.0001563851,0.0008548414,0.97289,0.00009352478],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005929367,0.00005748721,0.00004465889,0.0001376688,0.00003842703,0.00002506688,0.9983368,0.0000877764,0.001212775],"genre_scores_gemma":[0.001218436,0.000396507,0.0007248414,0.00021067,0.00002657543,0.0002344621,0.9912428,0.0001993764,0.005746326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1146305,"threshold_uncertainty_score":0.3834771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280036914358797,"score_gpt":0.2280607009790071,"score_spread":0.2152603318354191,"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."}}