{"id":"W6939539143","doi":"10.6068/dp14ba7fc563917","title":"Trend 1972 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: International migrants, by age group and sex, provinces, and territories | Variable: 73 years, Immigrants, 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; Socioeconomic status; Economic statistics; 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":[0.002204594,0.002275819,0.002602489,0.007345013,0.003170016,0.004583146,0.004961784,0.001275416,0.1139416],"category_scores_gemma":[0.0176211,0.001631247,0.001965375,0.03640501,0.000617258,0.002392129,0.002480156,0.003040167,0.05702056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0464924,"about_ca_system_score_gemma":0.1220661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943286,"about_ca_topic_score_gemma":0.9920105,"domain_scores_codex":[0.9965609,0.0002733047,0.0004004295,0.0004448163,0.001544796,0.0007757623],"domain_scores_gemma":[0.9720383,0.0009626023,0.000714553,0.0008312368,0.0239795,0.001473701],"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":[0.00002208063,0.000006156412,0.0009833154,0.0002382169,0.00001990362,0.000007197163,0.00003002318,0.0001174032,0.000008780687,0.0003792375,0.9959475,0.002240174],"study_design_scores_gemma":[0.0001784963,0.00001367467,0.02433293,0.0009890255,0.00006674751,0.00003370993,0.0005693476,0.000586447,0.0001580718,0.0008636011,0.9721131,0.00009487593],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005998615,0.000058099,0.00004455302,0.0001382415,0.00003838385,0.00002523016,0.9983426,0.00008708909,0.001205818],"genre_scores_gemma":[0.001236896,0.0004004574,0.0007235593,0.0002122281,0.00002681245,0.0002363323,0.9912415,0.0001976395,0.005724562],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1139416,"threshold_uncertainty_score":0.3811728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274881004371915,"score_gpt":0.2278898543200505,"score_spread":0.2151410442763314,"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."}}