{"id":"W6920296304","doi":"10.6068/dp14ba818a30a69","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: 8 years, Net non-permanent residents, 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; Net migration rate; Demographic statistics; Summary statistics; Socioeconomic status; Economic 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":[0.002140008,0.002270919,0.002591883,0.007144297,0.003219557,0.004799324,0.005014924,0.001292153,0.1153042],"category_scores_gemma":[0.01753195,0.001633733,0.00200297,0.03621553,0.0006324897,0.002465491,0.002523311,0.003067952,0.05966965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04657045,"about_ca_system_score_gemma":0.1229748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9945064,"about_ca_topic_score_gemma":0.9921422,"domain_scores_codex":[0.9966736,0.0002565506,0.0003885509,0.0004365122,0.001485087,0.0007597815],"domain_scores_gemma":[0.973057,0.0009286235,0.0006760707,0.0008223305,0.02311165,0.001404263],"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":[0.00002205137,0.000006182017,0.0009315994,0.0002370862,0.00001979317,0.000007101167,0.00002957942,0.000119822,0.000008798173,0.0003918807,0.9959437,0.002282347],"study_design_scores_gemma":[0.0001720631,0.00001280623,0.02116708,0.000951374,0.00006438074,0.00003219665,0.0005231192,0.0005659861,0.0001558976,0.0008505003,0.9754115,0.00009311425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005742306,0.00005864874,0.00004422287,0.0001421091,0.00003962503,0.00002383728,0.9982931,0.00009199336,0.001249068],"genre_scores_gemma":[0.001221037,0.0004117678,0.0007274028,0.0002110436,0.00002680191,0.0002219156,0.9912894,0.0002053662,0.005685231],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1153042,"threshold_uncertainty_score":0.3857309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582235202237833,"score_gpt":0.2387982916032329,"score_spread":0.2229759395808546,"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."}}