{"id":"W6920251998","doi":"10.6068/dp14baa38d73458","title":"Trend 1992 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Province: Northwest Territories | Table: International migrants, by age group and sex, provinces, and territories | Variable: -1 to 14 years, Emigrants, Both sexes | Units: # Persons, 1992-2013. 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; Summary statistics; Demographic 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":[0.002284086,0.002252629,0.002741607,0.007190655,0.003364944,0.00471633,0.005436116,0.001368201,0.1177148],"category_scores_gemma":[0.0200044,0.001681804,0.001990142,0.03889458,0.000614788,0.002560889,0.002514314,0.003106555,0.05923961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04234855,"about_ca_system_score_gemma":0.1182023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9934983,"about_ca_topic_score_gemma":0.9911775,"domain_scores_codex":[0.9964533,0.0002864634,0.0004468877,0.0004790619,0.001534614,0.0007996839],"domain_scores_gemma":[0.9705127,0.00107797,0.0007580351,0.0009097275,0.02526939,0.001472098],"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":[0.00002196943,0.000005713147,0.0009336891,0.0002434882,0.00001889315,0.000006440086,0.0000309163,0.0001036212,0.000007286309,0.0003620549,0.9962744,0.001991577],"study_design_scores_gemma":[0.0002079727,0.00001388758,0.02430354,0.001099978,0.0000725774,0.00003255494,0.0006244885,0.0005453754,0.0001471224,0.0009007079,0.9719519,0.00009988342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005166674,0.00004652755,0.00003525675,0.0001242403,0.00003317622,0.00002300736,0.9985999,0.00007098997,0.001015244],"genre_scores_gemma":[0.001014021,0.0003287634,0.000576219,0.0001720352,0.00002285938,0.0002333063,0.993192,0.0001639481,0.00429678],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1177148,"threshold_uncertainty_score":0.3937954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110655776145722,"score_gpt":0.2264886256651643,"score_spread":0.2154230480505921,"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."}}