{"id":"W6957864102","doi":"10.6068/dp14ba81598eb86","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: 11 years, Net non-permanent residents, Males | 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002143409,0.002274911,0.002602278,0.007130714,0.003228655,0.00480152,0.005033023,0.001296543,0.1150652],"category_scores_gemma":[0.01745567,0.001637401,0.002012601,0.03617996,0.0006338058,0.002464166,0.002526496,0.00308803,0.05960163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04659597,"about_ca_system_score_gemma":0.1232024,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994517,"about_ca_topic_score_gemma":0.9921345,"domain_scores_codex":[0.9966602,0.0002589001,0.0003897325,0.0004383395,0.001489118,0.0007637421],"domain_scores_gemma":[0.9732167,0.000926012,0.0006737552,0.0008187956,0.02295901,0.001405803],"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":[0.00002212024,0.000006207317,0.0009346376,0.0002381128,0.00002000104,0.000007132468,0.00002963993,0.0001197255,0.000008799001,0.0003923097,0.9959377,0.002283622],"study_design_scores_gemma":[0.0001737122,0.00001297464,0.02135395,0.0009592243,0.00006547692,0.00003257978,0.0005265992,0.0005672319,0.0001565646,0.0008545017,0.9752034,0.00009376836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005761724,0.00005951984,0.00004447325,0.0001427602,0.00003983584,0.00002394927,0.998292,0.00009207164,0.001247617],"genre_scores_gemma":[0.001225093,0.0004162452,0.000730532,0.0002136854,0.00002704839,0.0002223083,0.9912555,0.0002061621,0.005703424],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8849348,"threshold_uncertainty_score":0.3849314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329275858167675,"score_gpt":0.2323188182193773,"score_spread":0.2190260596377005,"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."}}