{"id":"W6976874193","doi":"10.6068/dp14ba807570f44","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: 64 years, Returning 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; 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":[0.002096735,0.0022564,0.002583031,0.007056698,0.003161374,0.004720643,0.004986091,0.001313098,0.1127644],"category_scores_gemma":[0.01784382,0.00159685,0.001939588,0.0358115,0.0006227547,0.002435896,0.002489876,0.003021166,0.06136111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04357817,"about_ca_system_score_gemma":0.1150777,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9937295,"about_ca_topic_score_gemma":0.9913141,"domain_scores_codex":[0.9967868,0.0002470713,0.0003800004,0.0004374028,0.001422127,0.0007266318],"domain_scores_gemma":[0.972705,0.0009695031,0.0007005252,0.0008623578,0.02333781,0.001424863],"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":[0.00002108336,0.000005873429,0.0009284447,0.0002207703,0.00001835752,0.000006563184,0.00002694449,0.0001117206,0.000008268104,0.0003473182,0.9962445,0.002059997],"study_design_scores_gemma":[0.0001755963,0.0000125285,0.02133722,0.000955618,0.00006230981,0.00003102059,0.0005126333,0.0005628857,0.0001548056,0.0008388456,0.9752637,0.00009291451],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005234489,0.00005069258,0.00003924327,0.0001259646,0.00003455605,0.00002182056,0.9985233,0.00008345575,0.00106854],"genre_scores_gemma":[0.001043279,0.000342524,0.0006110671,0.0001849217,0.00002393182,0.0002011123,0.992749,0.0001754554,0.004668789],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1127644,"threshold_uncertainty_score":0.3772346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779296918233845,"score_gpt":0.2370012893729018,"score_spread":0.2192083201905633,"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."}}