{"id":"W6958029113","doi":"10.6068/dp14ba7f11dcc52","title":"Trend 1971 - 2013. Statistics Canada. CANSIM: Population and Demography - Mobility and Migration | Country: Canada | Table: Number of non-permanent residents, by age group and sex for July 1 | Variable: 75 to 79 years, Males | Units: # Persons, 1971-2013. 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; Population; Official statistics; Population statistics; Summary statistics; Socioeconomic status; Economic statistics; Demographic 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":[0.002125656,0.002253894,0.002565559,0.007334892,0.003084406,0.004364383,0.004983508,0.001284248,0.1108226],"category_scores_gemma":[0.01746847,0.001620886,0.001938149,0.03575855,0.0006044069,0.002363694,0.002405271,0.003072874,0.05921264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04669493,"about_ca_system_score_gemma":0.122533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994462,"about_ca_topic_score_gemma":0.9919422,"domain_scores_codex":[0.9965822,0.0002554731,0.0003914938,0.000430881,0.001568668,0.0007713804],"domain_scores_gemma":[0.9715921,0.0009427501,0.0007034236,0.0007831379,0.02455163,0.001426897],"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":[0.00002181537,0.000006400381,0.001024235,0.0002405494,0.00001911222,0.000006853489,0.00002852363,0.000120987,0.00000897777,0.0003529504,0.9957568,0.002412829],"study_design_scores_gemma":[0.0001741511,0.00001431948,0.02609123,0.0009650124,0.00006382468,0.000033261,0.0005396291,0.0005978037,0.0001596846,0.0007991804,0.9704679,0.00009410491],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006552546,0.00006209864,0.00004679496,0.0001491871,0.00004194265,0.00002703245,0.9982166,0.0000918014,0.001299087],"genre_scores_gemma":[0.001290133,0.0004452406,0.0007233639,0.0002247157,0.0000288288,0.0002325141,0.9907697,0.0001977847,0.006087601],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1108226,"threshold_uncertainty_score":0.3707384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02097985392310084,"score_gpt":0.2626410236841683,"score_spread":0.2416611697610675,"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."}}