{"id":"W6976694457","doi":"10.6068/dp14baa31cfb772","title":"Trend 1972 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Province: Nova Scotia | 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; Summary statistics; Population statistics; Descriptive statistics; Economic statistics; Demographic 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":[0.002112205,0.002263149,0.002627567,0.007104295,0.003084145,0.004686783,0.00493328,0.001254836,0.1150614],"category_scores_gemma":[0.01834133,0.001699417,0.001886051,0.03651528,0.0005984477,0.002315738,0.002509029,0.002906152,0.06195464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04297628,"about_ca_system_score_gemma":0.1164054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941262,"about_ca_topic_score_gemma":0.9919419,"domain_scores_codex":[0.9966023,0.0002509551,0.0004410162,0.0004656598,0.001458927,0.0007811513],"domain_scores_gemma":[0.9735676,0.001016276,0.0007368343,0.0009059064,0.02231802,0.001455343],"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":[0.00002154591,0.000005432288,0.0009910086,0.0002334759,0.00001861516,0.000007167386,0.00003173072,0.0001168636,0.00000906779,0.0003673265,0.996218,0.001979688],"study_design_scores_gemma":[0.0001724052,0.000011921,0.02335407,0.0009223071,0.0000595866,0.00002963561,0.0005332948,0.0005267299,0.0001599883,0.0007527447,0.9733896,0.00008775158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005333217,0.00004440941,0.00003585843,0.0001073726,0.00003586803,0.00002153629,0.9985261,0.00007039269,0.001105205],"genre_scores_gemma":[0.001044356,0.0003057741,0.0005692811,0.000151613,0.00002189198,0.000200765,0.9923456,0.0001793343,0.005181381],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1150614,"threshold_uncertainty_score":0.3849186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384369239568947,"score_gpt":0.2350177193192941,"score_spread":0.2211740269236046,"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."}}