{"id":"W6939596806","doi":"10.6068/dp14ba80e261e78","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: 32 years, Returning emigrants, 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":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","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":[0.002128988,0.002273851,0.002632981,0.007150978,0.003267122,0.004850606,0.005099678,0.001314094,0.1197171],"category_scores_gemma":[0.01799325,0.001645454,0.001995454,0.03650617,0.0006374788,0.002503156,0.002585639,0.003064479,0.06312384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04489977,"about_ca_system_score_gemma":0.1191068,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942098,"about_ca_topic_score_gemma":0.9918194,"domain_scores_codex":[0.9966924,0.0002572567,0.0003954265,0.0004417242,0.001457121,0.0007560307],"domain_scores_gemma":[0.9726391,0.0009638304,0.0006877024,0.0008593936,0.02342118,0.001428796],"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":[0.00002128778,0.000005927131,0.0008872732,0.0002298675,0.00001887459,0.000006673007,0.00002894672,0.0001117962,0.000008353638,0.0003672395,0.996174,0.002139593],"study_design_scores_gemma":[0.0001739842,0.00001240424,0.02042065,0.0009502214,0.00006278125,0.00003109015,0.0005332412,0.000543933,0.0001513214,0.0008457326,0.976181,0.00009365528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005307009,0.00005269025,0.00004208757,0.0001334056,0.00003681348,0.0000232591,0.9983895,0.0000900907,0.001179096],"genre_scores_gemma":[0.001110426,0.0003720068,0.0006772702,0.0002010879,0.00002521321,0.000216828,0.9920456,0.0001987391,0.005152828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1197171,"threshold_uncertainty_score":0.4004936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230343092726145,"score_gpt":0.2102255454808428,"score_spread":0.1979221145535813,"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."}}