{"id":"W6920288505","doi":"10.6068/dp14ba843104418","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter I: Certain infectious and parasitic diseases (A00 to B99), age group and sex | Variable: Total, all ages, Measles complicated by encephalitis, Both sexes | Units: #, 2000-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-159.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population statistics; Census; Population; Demographic statistics; Fertility; Socioeconomic status; Demographic analysis; Economic statistics; Health 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":[0.002003045,0.002139603,0.002385106,0.00613765,0.003207997,0.004137226,0.004651651,0.001343935,0.1064231],"category_scores_gemma":[0.0155948,0.001570511,0.002047499,0.02728758,0.0005170233,0.002075185,0.002253036,0.002980603,0.05122481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04634475,"about_ca_system_score_gemma":0.1137945,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943869,"about_ca_topic_score_gemma":0.9931515,"domain_scores_codex":[0.9973382,0.0002187945,0.0003318815,0.0003552525,0.001113463,0.0006424433],"domain_scores_gemma":[0.9753837,0.0008309472,0.000629205,0.0007094926,0.02119351,0.00125316],"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":[0.000025902,0.000006284272,0.001107032,0.0002766257,0.00002232381,0.0000076088,0.00002968645,0.0001329668,0.000009788703,0.0003844135,0.9953743,0.002623044],"study_design_scores_gemma":[0.00022694,0.00001557216,0.027207,0.001179084,0.00008692804,0.00004309546,0.0005617875,0.0008148404,0.0001884968,0.0009447114,0.9686203,0.0001112665],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007079082,0.00006548786,0.00004550349,0.0001592106,0.00003978754,0.00002770742,0.9983004,0.00008495571,0.001206193],"genre_scores_gemma":[0.001309869,0.0004411049,0.0007910649,0.0002510902,0.00002452123,0.0002415499,0.9917275,0.0001606403,0.005052766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1064231,"threshold_uncertainty_score":0.3560207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02094920424615598,"score_gpt":0.2441637304758138,"score_spread":0.2232145262296578,"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."}}