{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002069599,0.002256118,0.002574112,0.007027174,0.003168195,0.004708158,0.004987492,0.00131148,0.1133534],"category_scores_gemma":[0.01748492,0.001592002,0.001937534,0.03561633,0.000623656,0.002430226,0.002485194,0.003021175,0.06163766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04344494,"about_ca_system_score_gemma":0.1148671,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.993782,"about_ca_topic_score_gemma":0.9913781,"domain_scores_codex":[0.9968165,0.0002433274,0.000372331,0.0004341947,0.001409002,0.0007247322],"domain_scores_gemma":[0.9733303,0.0009444601,0.0006850694,0.0008441657,0.02278623,0.00140988],"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":[0.00002068221,0.000005807594,0.0009182257,0.0002177427,0.00001813391,0.000006515006,0.00002688041,0.0001098834,0.000008179904,0.0003441283,0.9962866,0.002037209],"study_design_scores_gemma":[0.0001751101,0.00001253482,0.02153651,0.0009493034,0.00006213097,0.00003123102,0.0005179636,0.0005620171,0.0001546682,0.0008344387,0.9750714,0.00009259316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005280456,0.00005071975,0.00003905922,0.0001262351,0.00003449694,0.00002162113,0.9985165,0.00008358788,0.001075011],"genre_scores_gemma":[0.001049277,0.0003421708,0.0006056984,0.0001855274,0.00002396933,0.0001993926,0.9926887,0.0001762642,0.00472897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1133534,"threshold_uncertainty_score":0.3792048,"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."}}