{"id":"W6939042597","doi":"10.6068/dp14ba825904511","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: 20 to 24 years, Net non-permanent residents, Males | 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; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006055618,0.000863255,0.0009206008,0.0002297354,0.0002243374,0.0007900523,0.0009527877,0.0004296848,0.0002575875],"category_scores_gemma":[0.00007232495,0.0008844978,2.180221e-7,0.0003033676,0.0004034377,0.0006645255,0.0006357803,0.000575771,0.000003625363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003049504,"about_ca_system_score_gemma":0.002239114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999399,"about_ca_topic_score_gemma":0.9999438,"domain_scores_codex":[0.994912,0.0004256472,0.0008799295,0.001713946,0.001381138,0.0006873749],"domain_scores_gemma":[0.9966666,0.0003816505,0.0006417012,0.001458334,0.00005185587,0.0007998939],"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":[0.0001772862,0.00007282877,0.005243611,0.0005915561,0.0003131484,0.0002284006,0.00001329683,0.000003659063,0.00001514355,0.00006892919,0.9930895,0.0001826565],"study_design_scores_gemma":[0.0009309895,0.0001111544,0.0009928569,0.0001022311,0.0004291592,0.0001840633,0.000304352,0.001563866,1.907977e-8,5.828786e-7,0.9944397,0.0009409824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005903594,0.006969326,0.00000486205,0.000008456733,0.0006472611,0.00118229,0.9909462,0.00006839702,0.0001141267],"genre_scores_gemma":[0.0001439273,0.0030716,0.0004563121,0.0001436615,0.0002600947,0.00004057251,0.9944041,0.0002380762,0.001241596],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.004250754,"threshold_uncertainty_score":0.9993606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404248977827372,"score_gpt":0.2351209788760607,"score_spread":0.221078489097787,"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."}}