{"id":"W6901443481","doi":"10.6068/dp14ba7ef0aa952","title":"Trend 1971 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: Number of non-permanent residents, by age group and sex for July 1 | Variable: 74 years, Females | Units: # Persons, 1971-2013. 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; Population; Official statistics; Population statistics; Summary statistics; Demographic 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":[0.002037156,0.002212109,0.002536005,0.007125746,0.003058367,0.004373376,0.004905392,0.00122889,0.1103674],"category_scores_gemma":[0.01696566,0.001529955,0.00185564,0.03484808,0.0005997384,0.002282237,0.00239636,0.002945467,0.05933663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0448272,"about_ca_system_score_gemma":0.1162212,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941804,"about_ca_topic_score_gemma":0.9920862,"domain_scores_codex":[0.9968275,0.0002430574,0.0003583166,0.0004122868,0.001430843,0.0007279892],"domain_scores_gemma":[0.9735162,0.0009134558,0.0006685382,0.0007658026,0.02276755,0.001368405],"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":[0.00001962332,0.000005786855,0.0009525488,0.0002207034,0.00001827554,0.00000669981,0.00002782906,0.0001203023,0.00000834957,0.0003561841,0.9960423,0.00222147],"study_design_scores_gemma":[0.0001683635,0.00001313455,0.02391454,0.0009258555,0.00006103437,0.00003279042,0.0005260766,0.0006287366,0.0001563666,0.0008205974,0.9726616,0.000090915],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006219301,0.00005754991,0.00004588419,0.0001405956,0.00003760832,0.00002412836,0.9983254,0.00009048478,0.00121608],"genre_scores_gemma":[0.001239353,0.0004040601,0.0006858081,0.000198467,0.000026215,0.0002148362,0.9916432,0.0001898592,0.005398346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1103674,"threshold_uncertainty_score":0.3692158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496944079644943,"score_gpt":0.2661194473288545,"score_spread":0.2411500065324051,"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."}}