{"id":"W6958295491","doi":"10.6068/dp14ba818a60671","title":"Trend 1992 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: International migrants, by age group and sex, provinces, and territories | Variable: 60 years, Net temporary 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; Net migration rate; Summary statistics; Demographic statistics; Economic statistics; Socioeconomic status","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":[0.002038332,0.002233862,0.002636098,0.006838241,0.003336748,0.004650016,0.005163784,0.001289729,0.1137475],"category_scores_gemma":[0.01722085,0.001595931,0.001913154,0.03522009,0.0006061508,0.002395584,0.002465344,0.00293453,0.05780717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04534509,"about_ca_system_score_gemma":0.1182482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944053,"about_ca_topic_score_gemma":0.9922351,"domain_scores_codex":[0.996968,0.0002463656,0.0003524255,0.0004164516,0.001305544,0.0007112878],"domain_scores_gemma":[0.9727518,0.0009016451,0.0006686207,0.0007813093,0.02346663,0.00142994],"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":[0.00002244917,0.000006089014,0.0009809,0.0002470081,0.0000193591,0.000007024632,0.00003207359,0.0001124222,0.000008086459,0.0003845306,0.9959183,0.002261818],"study_design_scores_gemma":[0.0001943429,0.00001407693,0.02391728,0.001075735,0.00007168005,0.00003499869,0.0006252692,0.0006353121,0.0001552247,0.0009027667,0.9722723,0.0001010273],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006233926,0.00005744249,0.00003994544,0.0001395016,0.00003462529,0.00002363574,0.9984404,0.00008035303,0.001121709],"genre_scores_gemma":[0.001237804,0.0004033298,0.0006614696,0.0001966754,0.00002436621,0.0002258374,0.9922553,0.0001770567,0.004818046],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1137475,"threshold_uncertainty_score":0.3805234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01379540825749646,"score_gpt":0.2279282058702548,"score_spread":0.2141327976127584,"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."}}