{"id":"W6939185046","doi":"10.6068/dp14ba7f66b4555","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: 40 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":[0.00216784,0.002250696,0.00255552,0.007301924,0.003157755,0.00453933,0.004930519,0.00130691,0.1143473],"category_scores_gemma":[0.01789937,0.001638439,0.001940397,0.03638965,0.0006142948,0.002413864,0.00246268,0.00305351,0.05869013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04567674,"about_ca_system_score_gemma":0.1225551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941803,"about_ca_topic_score_gemma":0.9915435,"domain_scores_codex":[0.996555,0.0002665241,0.0004020419,0.0004450712,0.001555047,0.0007763756],"domain_scores_gemma":[0.9716083,0.0009708473,0.0007196054,0.0008416402,0.02437077,0.001488698],"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":[0.00002226251,0.000006280773,0.0009784159,0.0002343281,0.00001862229,0.000006940721,0.00002862246,0.0001165022,0.000008993008,0.0003683636,0.9959326,0.002278044],"study_design_scores_gemma":[0.0001738785,0.00001365623,0.02353293,0.0009691457,0.00006324775,0.00003205585,0.0005446612,0.0005672175,0.0001583499,0.0008318587,0.9730198,0.00009330607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005959499,0.00005658577,0.00004509307,0.0001408341,0.00004002969,0.00002587174,0.9982988,0.00008951405,0.001243691],"genre_scores_gemma":[0.001205521,0.0003997403,0.000730249,0.0002207186,0.00002755261,0.000233896,0.9910908,0.0002000262,0.005891586],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1143473,"threshold_uncertainty_score":0.3825297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0177470359345626,"score_gpt":0.237344055635158,"score_spread":0.2195970197005954,"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."}}