{"id":"W6976423508","doi":"10.6068/dp14ba82034af97","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: 9 years, Net non-permanent residents, 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; Net migration rate; Summary statistics; Demographic statistics; Economic statistics; Socioeconomic status","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":[0.002159995,0.002282109,0.002654724,0.007224144,0.003253802,0.004813947,0.00510641,0.001311171,0.1178574],"category_scores_gemma":[0.0182406,0.001657798,0.002024803,0.03694648,0.0006357803,0.002507046,0.002599193,0.003108599,0.06112749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04512845,"about_ca_system_score_gemma":0.1196575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943067,"about_ca_topic_score_gemma":0.9920338,"domain_scores_codex":[0.9966171,0.0002687158,0.0004089252,0.0004519002,0.00149178,0.0007616318],"domain_scores_gemma":[0.9721302,0.0009951014,0.000701469,0.0008635414,0.02385532,0.001454372],"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":[0.00002119753,0.000005907993,0.000895844,0.0002306338,0.00001942927,0.000006945767,0.00002945369,0.0001149536,0.000008134205,0.000381527,0.9961511,0.002134706],"study_design_scores_gemma":[0.0001750301,0.00001276923,0.02097808,0.0009745704,0.00006473478,0.00003335362,0.0005267481,0.0005645577,0.0001507058,0.0008902308,0.975534,0.00009521679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005384188,0.00005489617,0.00004367935,0.000137473,0.0000380718,0.00002314322,0.9983699,0.00008875908,0.001190214],"genre_scores_gemma":[0.001122085,0.0003849538,0.0006937243,0.0002033213,0.00002600863,0.0002178089,0.99185,0.0002010028,0.005301163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1178574,"threshold_uncertainty_score":0.3942723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01216727349173648,"score_gpt":0.2316265092669592,"score_spread":0.2194592357752227,"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."}}