{"id":"W6901674539","doi":"10.6068/dp14ba81588c579","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: 17 years, Net non-permanent residents, 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; Net migration rate; Demographic statistics; Summary statistics; Socioeconomic status; Economic 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":[0.002153184,0.002273999,0.002606158,0.007137157,0.003227401,0.004811088,0.005042048,0.001297527,0.115317],"category_scores_gemma":[0.01750081,0.001637586,0.002014423,0.03618626,0.000633624,0.002462477,0.002531393,0.003084991,0.05990121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04646752,"about_ca_system_score_gemma":0.1229317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944816,"about_ca_topic_score_gemma":0.9920649,"domain_scores_codex":[0.9966629,0.0002594581,0.0003903713,0.0004389797,0.001485636,0.0007625862],"domain_scores_gemma":[0.9731631,0.0009317446,0.0006756478,0.0008232284,0.02299761,0.001408789],"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":[0.00002212336,0.000006169021,0.0009291185,0.0002374175,0.0000199944,0.000007112516,0.00002958725,0.0001189086,0.000008796743,0.0003902935,0.9959556,0.002274898],"study_design_scores_gemma":[0.0001740665,0.00001293138,0.02123498,0.0009578259,0.00006544575,0.00003256819,0.0005251014,0.0005650052,0.0001558951,0.0008556588,0.9753269,0.00009362207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005706175,0.00005897593,0.00004422235,0.0001419565,0.00003945242,0.000023842,0.9983041,0.00009205379,0.00123831],"genre_scores_gemma":[0.001210896,0.0004115961,0.0007271327,0.0002123312,0.00002681706,0.0002214383,0.9913571,0.000206152,0.005626464],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.115317,"threshold_uncertainty_score":0.3857738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01331873325372344,"score_gpt":0.2333333578186848,"score_spread":0.2200146245649614,"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."}}