{"id":"W6976901612","doi":"10.6068/dp14ba831ee7788","title":"Trend 1992 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: International migrants, by age group and sex, provinces, and territories | Variable: 90 years and over, Net temporary emigrants, Both sexes | Units: # Persons, 1992-2013. 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; Net migration rate; Economic statistics; Demographic 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002109655,0.00226208,0.002697822,0.007096039,0.00330517,0.004763667,0.005250255,0.001325597,0.1134406],"category_scores_gemma":[0.0179919,0.001643115,0.001985891,0.03687271,0.0006154798,0.002502387,0.002556253,0.003013284,0.05931342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04446948,"about_ca_system_score_gemma":0.118037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943103,"about_ca_topic_score_gemma":0.9919329,"domain_scores_codex":[0.9967163,0.0002678209,0.0003916379,0.0004491926,0.001421137,0.0007539112],"domain_scores_gemma":[0.9717289,0.0009576789,0.0007031806,0.0008400441,0.02428908,0.001481246],"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":[0.00002158083,0.000005791774,0.000913963,0.0002338629,0.00001902122,0.000006650594,0.00003010072,0.0001104003,0.000007540323,0.0003801899,0.9961648,0.002106216],"study_design_scores_gemma":[0.0001838432,0.00001340538,0.02224258,0.001021953,0.00006858217,0.00003399129,0.0005809483,0.0006057942,0.0001474117,0.0008975786,0.9741053,0.00009864376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005780538,0.0000557608,0.00004040272,0.0001410144,0.00003597322,0.00002306275,0.9984125,0.00008423822,0.001149287],"genre_scores_gemma":[0.001130863,0.0003774937,0.0006286668,0.0001952791,0.00002407296,0.0002176399,0.9924697,0.0001830762,0.00477322],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1134406,"threshold_uncertainty_score":0.3794967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301311823626851,"score_gpt":0.2286635445642419,"score_spread":0.2156504263279734,"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."}}