{"id":"W6957838971","doi":"10.6068/dp14ba803aacb1","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: 77 years, Returning emigrants, 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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008744366,0.0009353294,0.001037272,0.000218243,0.0002878561,0.0008120647,0.0009334036,0.00056111,0.000267529],"category_scores_gemma":[0.0001253235,0.000949745,2.429238e-7,0.0003270505,0.0006192354,0.0008037359,0.0005319051,0.0007997011,0.000001700777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002670007,"about_ca_system_score_gemma":0.002455121,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999332,"about_ca_topic_score_gemma":0.9999311,"domain_scores_codex":[0.9946322,0.000564159,0.0009525042,0.001778672,0.001345976,0.0007264987],"domain_scores_gemma":[0.9963605,0.0005827709,0.0009236871,0.001421779,0.00005285785,0.0006583917],"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":[0.0001521881,0.00006108304,0.005495113,0.0006930876,0.0003755552,0.0002416595,0.00001347131,0.000001523833,0.00001469163,0.00008583537,0.9924585,0.0004073209],"study_design_scores_gemma":[0.001059114,0.00008521121,0.0004054384,0.0001190349,0.0005254731,0.0003074695,0.0004735086,0.003308906,2.148776e-8,7.380953e-7,0.9926994,0.001015723],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007562814,0.01451227,0.000004228875,0.00000436744,0.0005237976,0.0008878388,0.9837803,0.0001015173,0.0001100141],"genre_scores_gemma":[0.0002218694,0.004276742,0.000682546,0.00008140501,0.0002571958,0.00002834949,0.9934836,0.0002696942,0.0006986241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01023553,"threshold_uncertainty_score":0.9992953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01481346344367132,"score_gpt":0.2308695383963137,"score_spread":0.2160560749526423,"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."}}