{"id":"W6939036089","doi":"10.6068/dp14ba7f58efa72","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: 5 years, Emigrants, 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; Demographic statistics; Summary statistics; Economic statistics; Socioeconomic status; 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":[0.002156285,0.0022456,0.002544973,0.007282497,0.00315992,0.004524113,0.004913778,0.001299771,0.1146281],"category_scores_gemma":[0.0177105,0.001627534,0.001941657,0.03628737,0.000614826,0.002410318,0.002451479,0.003057721,0.05842273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04595137,"about_ca_system_score_gemma":0.1236648,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942579,"about_ca_topic_score_gemma":0.9916832,"domain_scores_codex":[0.9965615,0.0002650018,0.0003992922,0.0004436709,0.001556052,0.0007744972],"domain_scores_gemma":[0.9719058,0.0009533045,0.0007114934,0.0008264365,0.02412497,0.001477984],"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":[0.00002216629,0.00000628617,0.0009812578,0.0002352936,0.0000186899,0.0000069714,0.00002881903,0.0001170751,0.000008955844,0.000375264,0.9958896,0.002309605],"study_design_scores_gemma":[0.0001705411,0.00001354297,0.0233508,0.0009661215,0.00006283219,0.00003193825,0.0005432083,0.0005644251,0.0001566037,0.0008305811,0.9732172,0.00009224196],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006048389,0.00005797772,0.00004600894,0.0001431805,0.00004071123,0.0000262153,0.9982587,0.0000902278,0.001276523],"genre_scores_gemma":[0.001235124,0.0004107607,0.0007492021,0.000225439,0.00002796163,0.0002360373,0.9908412,0.0002026523,0.006071643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1146281,"threshold_uncertainty_score":0.3834691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01769604103444971,"score_gpt":0.2372577013769704,"score_spread":0.2195616603425207,"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."}}