{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008071333,0.0009636889,0.001064672,0.0002177919,0.0002642586,0.0007613503,0.0009485935,0.0005580661,0.0006800172],"category_scores_gemma":[0.00009521846,0.0009732007,2.406215e-7,0.0003336598,0.0006625236,0.0008027428,0.0004816078,0.0006817913,0.000004250954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002502435,"about_ca_system_score_gemma":0.002380643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999561,"about_ca_topic_score_gemma":0.9999531,"domain_scores_codex":[0.9946441,0.0005257105,0.0009380731,0.001791308,0.001349712,0.0007510877],"domain_scores_gemma":[0.9963946,0.0005080678,0.0008333306,0.001506356,0.0000581481,0.0006995227],"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":[0.0001407872,0.00009125541,0.003384704,0.0006282642,0.0004099887,0.0002028674,0.00001071643,0.000001454836,0.000008799034,0.000104218,0.9947159,0.0003010325],"study_design_scores_gemma":[0.001112221,0.0000893717,0.000517585,0.00008373969,0.000541824,0.0002310238,0.0004302238,0.002542733,1.39946e-8,4.055513e-7,0.9934128,0.001038037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000264154,0.02096622,0.000004589692,0.000005316245,0.0005319081,0.0009873098,0.9772307,0.00009190376,0.0001556889],"genre_scores_gemma":[0.00008837803,0.006002347,0.0004370823,0.00008998541,0.0002382987,0.00003217059,0.9911605,0.0002727873,0.001678431],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01496388,"threshold_uncertainty_score":0.9992719,"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."}}