{"id":"W6901444185","doi":"10.6068/dp14ba7fe120869","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter VI: Diseases of the nervous system (G00 to G99), by age group and sex | Variable: 70 to 74 years, Cerebral oedema, Males | Units: # Persons, 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":"Census; Population; Population statistics; Fertility; Economic statistics; Socioeconomic status; Demographic statistics; Summary statistics; Official 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":[0.002132782,0.002184567,0.002535197,0.00656129,0.00321016,0.004242284,0.00488881,0.001446867,0.1053676],"category_scores_gemma":[0.0173785,0.001693213,0.00214471,0.02983578,0.0005331938,0.002145902,0.002316487,0.003115016,0.0518507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04456347,"about_ca_system_score_gemma":0.1160664,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9941554,"about_ca_topic_score_gemma":0.9928339,"domain_scores_codex":[0.9971085,0.00023538,0.0003728543,0.0003822837,0.001222671,0.0006783538],"domain_scores_gemma":[0.9741582,0.0009474954,0.0006497853,0.0007667211,0.02216574,0.001312107],"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":[0.00002653099,0.000006195061,0.001058926,0.0002864809,0.00002336806,0.000007567298,0.00002922347,0.0001262283,0.000009517796,0.0003635743,0.9956666,0.002395665],"study_design_scores_gemma":[0.0002617869,0.0000168469,0.02852994,0.001286448,0.00009573589,0.00004462309,0.0005731123,0.0008060556,0.0001877989,0.001008502,0.9670696,0.0001196301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000632864,0.00005960478,0.00004194212,0.0001506642,0.00003731003,0.00002624646,0.9985046,0.00007953251,0.001036873],"genre_scores_gemma":[0.001184134,0.0004066534,0.0007331003,0.0002427284,0.00002444508,0.0002416838,0.9925491,0.0001537382,0.004464492],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1053676,"threshold_uncertainty_score":0.3524898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596736495296219,"score_gpt":0.222530410010315,"score_spread":0.2065630450573528,"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."}}