{"id":"W6977099988","doi":"10.6068/dp14ba7f7a46d77","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: 95 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; Summary statistics; Demographic statistics; Economic statistics; Socioeconomic status; 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":[0.002128388,0.002280273,0.002627968,0.007008058,0.00334701,0.004665424,0.00499967,0.001256428,0.1087235],"category_scores_gemma":[0.01679637,0.001627195,0.002026369,0.03505001,0.0006000601,0.002311999,0.002417547,0.00297592,0.0526683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04861404,"about_ca_system_score_gemma":0.1251615,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953086,"about_ca_topic_score_gemma":0.9933171,"domain_scores_codex":[0.996761,0.000268483,0.0003756925,0.00041968,0.001425597,0.0007494852],"domain_scores_gemma":[0.972878,0.0009041092,0.0006711032,0.0007922369,0.02328601,0.001468365],"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":[0.00002432676,0.000006307599,0.001067522,0.000252613,0.00002185702,0.000007802249,0.00003442658,0.000124599,0.000009546132,0.0004511729,0.9954436,0.00255625],"study_design_scores_gemma":[0.0001865737,0.00001477051,0.02596787,0.001016589,0.00007739415,0.00003761465,0.0006286798,0.0007074044,0.0001690392,0.0009199632,0.9701703,0.0001038008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000731977,0.00007303975,0.00005529073,0.0001717244,0.000045214,0.00002872494,0.9979754,0.0001047271,0.001472704],"genre_scores_gemma":[0.001529071,0.0004956431,0.000875721,0.000249477,0.00002888903,0.0002548263,0.9899558,0.0002261178,0.0063845],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1087235,"threshold_uncertainty_score":0.3637163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165266534678579,"score_gpt":0.2321901013602344,"score_spread":0.2156634478923765,"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."}}