{"id":"W6957777550","doi":"10.6068/dp14baa358a6c33","title":"Trend 1972 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Province: British Columbia | Table: International migrants, by age group and sex, provinces, and territories | Variable: -1 to 14 years, 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Population; Population statistics; Summary statistics; Economic statistics; Demographic 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":[0.002037405,0.00231138,0.002747298,0.007140138,0.003281897,0.004813735,0.005170261,0.001326931,0.1127033],"category_scores_gemma":[0.01814128,0.001593199,0.001894169,0.03832268,0.0006241124,0.00238381,0.002439969,0.003007075,0.06275782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04055068,"about_ca_system_score_gemma":0.1031564,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936102,"about_ca_topic_score_gemma":0.9919155,"domain_scores_codex":[0.9968954,0.0002410473,0.0003897453,0.0004476628,0.001304711,0.0007213115],"domain_scores_gemma":[0.9740699,0.0009795445,0.0006698639,0.0009095048,0.02201653,0.001354699],"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":[0.00001929781,0.000005058771,0.0008113968,0.0002033185,0.00001753692,0.000006153895,0.00002643084,0.00009934897,0.000007659925,0.0003241886,0.9967013,0.001778432],"study_design_scores_gemma":[0.0001718343,0.00001034355,0.01894228,0.0008611418,0.00005896234,0.00002750269,0.0004872319,0.0005043634,0.0001484503,0.000796772,0.9779028,0.00008822128],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004529988,0.00004124102,0.00003426282,0.0001009664,0.0000313089,0.00001763105,0.9987189,0.00007475728,0.0009357637],"genre_scores_gemma":[0.0008587155,0.0002641671,0.0005133453,0.0001391882,0.0000193487,0.0001763849,0.9938432,0.0001566031,0.004029118],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1127033,"threshold_uncertainty_score":0.3770302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01051070692597607,"score_gpt":0.2198295797667759,"score_spread":0.2093188728407999,"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."}}