{"id":"W6920600795","doi":"10.6068/dp14ba7ffd5c339","title":"Trend 1972 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: Interprovincial migrants, by age group and sex | Variable: 22 years, Out-migrants, 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; Demographic statistics; Summary statistics; Economic statistics; Socioeconomic status; Internal migration","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":[0.002080919,0.00223735,0.002515489,0.007162185,0.003099525,0.004506316,0.004879144,0.001237605,0.1137072],"category_scores_gemma":[0.01678728,0.001566371,0.001859375,0.03578939,0.0006101982,0.002280149,0.002479632,0.002901043,0.05852304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04519212,"about_ca_system_score_gemma":0.1177933,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9942995,"about_ca_topic_score_gemma":0.9921675,"domain_scores_codex":[0.9967373,0.000252518,0.0003728202,0.0004326061,0.001456446,0.0007482293],"domain_scores_gemma":[0.9743257,0.0009050159,0.0006775752,0.000793645,0.02188365,0.001414349],"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":[0.00002036063,0.000005611467,0.0009199993,0.0002239448,0.00001863113,0.000006884466,0.00002948443,0.0001147357,0.000008870595,0.0003636607,0.9961299,0.00215808],"study_design_scores_gemma":[0.0001688699,0.00001271352,0.02281023,0.000911548,0.00006075856,0.00003206194,0.0005423546,0.0005786809,0.0001581353,0.0008177179,0.9738172,0.00008979825],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005763934,0.00005418409,0.00004501225,0.0001324376,0.00003605479,0.00002330824,0.9983713,0.00008921543,0.001190816],"genre_scores_gemma":[0.001192768,0.0003720139,0.0007035889,0.0001980175,0.00002511614,0.0002160268,0.9916495,0.0001931142,0.005449811],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1137072,"threshold_uncertainty_score":0.3803885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548984882377909,"score_gpt":0.2335911526850455,"score_spread":0.2181013038612664,"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."}}