{"id":"W6976731272","doi":"10.6068/dp14ba80e207376","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: 44 years, Returning emigrants, Both sexes | 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":"Social and Behavioral Studies","field":"Social Sciences","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":[0.002142629,0.002278156,0.00264981,0.007165922,0.003283977,0.004876892,0.005119015,0.001323274,0.1208767],"category_scores_gemma":[0.01813416,0.001652516,0.002004915,0.03663582,0.0006388729,0.002514129,0.002595574,0.003074733,0.06402793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04480952,"about_ca_system_score_gemma":0.1190131,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941403,"about_ca_topic_score_gemma":0.9917194,"domain_scores_codex":[0.9966682,0.0002604229,0.0003994511,0.0004450967,0.001466634,0.0007602191],"domain_scores_gemma":[0.9724401,0.0009765435,0.0006910862,0.0008685955,0.02358764,0.00143598],"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":[0.0000212463,0.000005895306,0.0008757208,0.000228772,0.00001875879,0.000006636025,0.00002874441,0.0001104131,0.000008290462,0.0003647937,0.9962004,0.002130335],"study_design_scores_gemma":[0.0001737031,0.00001237714,0.02019558,0.0009524805,0.00006272388,0.00003103184,0.0005306757,0.0005399373,0.0001503079,0.0008489168,0.9764085,0.00009368899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005227209,0.00005243621,0.00004216133,0.0001336206,0.0000368983,0.00002324177,0.9983897,0.0000903809,0.001179267],"genre_scores_gemma":[0.001095665,0.0003716385,0.0006772443,0.0002015703,0.00002536944,0.000217492,0.992066,0.0002003336,0.005144735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1208767,"threshold_uncertainty_score":0.4043727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221046437272418,"score_gpt":0.2603107802878603,"score_spread":0.2381003159151361,"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."}}