{"id":"W6901792158","doi":"10.6068/dp14ba7f7951271","title":"Trend 2002 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: International migrants, by age group and sex, provinces, and territories | Variable: 93 years, Immigrants, Females | Units: # Persons, 2002-2013. 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":[0.002126806,0.002292465,0.002624462,0.007059385,0.003364896,0.004706121,0.005011083,0.001255889,0.1091052],"category_scores_gemma":[0.01664316,0.001628674,0.002018973,0.03532717,0.0005999797,0.002333375,0.002433035,0.002973736,0.05345079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04854993,"about_ca_system_score_gemma":0.124741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9952683,"about_ca_topic_score_gemma":0.9932876,"domain_scores_codex":[0.9967651,0.0002660822,0.0003739796,0.0004181665,0.001425175,0.0007515016],"domain_scores_gemma":[0.9728904,0.0008939747,0.0006665277,0.0007944448,0.02328688,0.00146785],"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":[0.00002407512,0.000006316433,0.001062093,0.0002504936,0.00002152345,0.00000781466,0.0000348364,0.0001232825,0.000009635831,0.0004510653,0.9954586,0.002550357],"study_design_scores_gemma":[0.0001804892,0.00001448282,0.02558095,0.0009945121,0.00007508017,0.00003688623,0.0006315234,0.0006951841,0.0001683129,0.0009028307,0.970617,0.0001026952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007291854,0.0000715876,0.00005449848,0.0001682982,0.00004467111,0.00002845383,0.9979759,0.0001041231,0.00147961],"genre_scores_gemma":[0.001497177,0.0004849213,0.0008561782,0.0002412915,0.00002805657,0.0002506779,0.9900885,0.0002238861,0.00632932],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1091052,"threshold_uncertainty_score":0.3649933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653160130128355,"score_gpt":0.2323985488536124,"score_spread":0.2158669475523289,"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."}}