{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0007865893,0.001111174,0.001185119,0.0002448765,0.0003387693,0.001052122,0.001107947,0.0005656364,0.0001276477],"category_scores_gemma":[0.00009472106,0.00111531,3.41403e-7,0.0003660537,0.0006626216,0.0009380985,0.0006571612,0.000721368,0.000001231538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003801471,"about_ca_system_score_gemma":0.003481376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999984,"about_ca_topic_score_gemma":0.9999916,"domain_scores_codex":[0.9939715,0.0004779417,0.001045582,0.002072516,0.00158936,0.0008430479],"domain_scores_gemma":[0.9961571,0.0004512414,0.0008043077,0.001644858,0.00004231336,0.000900208],"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":[0.0002001287,0.0001019898,0.01297766,0.0007887621,0.0003638133,0.0002114901,0.00002663503,0.000001933375,0.000009114243,0.0001013923,0.9848819,0.0003351325],"study_design_scores_gemma":[0.001020298,0.0001614988,0.0007346448,0.0001090226,0.0004469779,0.0001844621,0.0004871728,0.0009838723,3.120646e-8,5.543559e-7,0.9946522,0.001219312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007277304,0.00724142,0.000005128228,0.000008004515,0.0007132853,0.001494582,0.9902813,0.0001269838,0.00005654665],"genre_scores_gemma":[0.0003140544,0.002138753,0.0006563835,0.0001217193,0.0004143495,0.00005962796,0.9955128,0.0003087684,0.0004734817],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01224302,"threshold_uncertainty_score":0.9999849,"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."}}