{"id":"W6958114187","doi":"10.6068/dp14ba8a47feb65","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter XIV: Diseases of the genitourinary system (N00 to N99), age group and sex | Variable: 60 to 64 years, Unspecified nephritic syndrome, focal and segmental glomerular lesions, Males | 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":"Census; Population statistics; Population; Descriptive statistics; Demographic statistics; Socioeconomic status; Fertility; Official statistics; Economic 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":[0.001937597,0.002092297,0.002512949,0.006296265,0.002918485,0.003971989,0.004725043,0.001446654,0.09798467],"category_scores_gemma":[0.01653448,0.00155695,0.002106858,0.02801442,0.0005267315,0.001884467,0.002187048,0.002972176,0.04758376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04448051,"about_ca_system_score_gemma":0.1112045,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9936888,"about_ca_topic_score_gemma":0.9923574,"domain_scores_codex":[0.9973488,0.0002107108,0.0003537017,0.0003736366,0.001092726,0.000620383],"domain_scores_gemma":[0.9745681,0.0009838624,0.0007083732,0.0007392289,0.02169412,0.001306385],"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":[0.00002920797,0.000006498758,0.001226864,0.0003021074,0.00002538095,0.00000728443,0.00002678769,0.000127739,0.000009502048,0.0003265706,0.9957631,0.002148954],"study_design_scores_gemma":[0.0003090824,0.00001833693,0.03291688,0.001451068,0.000112066,0.00004853952,0.0005504612,0.0008118261,0.0002065531,0.0009455568,0.9625072,0.0001224344],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006211398,0.00005407498,0.00003158458,0.0001346151,0.00003005959,0.00002075595,0.998764,0.00006909861,0.0008338199],"genre_scores_gemma":[0.001116417,0.0003614033,0.0005826084,0.0002405043,0.00002215255,0.0002000042,0.9935529,0.0001153124,0.003808717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09798467,"threshold_uncertainty_score":0.3277914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765613261596109,"score_gpt":0.2250284847225969,"score_spread":0.2073723521066358,"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."}}