{"id":"W6920167720","doi":"10.6068/dp14ba85c3fd520","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: 15 to 19 years, Other abnormal uterine and vaginal bleeding, 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":"Census; Population statistics; Population; Socioeconomic status; Fertility; Demographic statistics; Official statistics; Birth rate; 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":[0.002125149,0.002209563,0.002526948,0.006425834,0.003143489,0.004130379,0.004822586,0.001427617,0.09786999],"category_scores_gemma":[0.01696588,0.001704322,0.00215452,0.02903428,0.0005411467,0.002050022,0.002294756,0.003166297,0.04967918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04689544,"about_ca_system_score_gemma":0.1186099,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9944816,"about_ca_topic_score_gemma":0.9931016,"domain_scores_codex":[0.9970666,0.0002380292,0.0003786479,0.000386969,0.001259467,0.0006703394],"domain_scores_gemma":[0.974143,0.0009447368,0.0006656664,0.00074758,0.02219883,0.001300329],"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":[0.00002538705,0.000006048705,0.00103182,0.0002801838,0.00002280529,0.000007240008,0.00002705588,0.0001256664,0.000008943056,0.0003516497,0.9959045,0.002208795],"study_design_scores_gemma":[0.0002602735,0.00001682743,0.02948447,0.001267994,0.00009803672,0.00004356689,0.0005657097,0.0007965553,0.000191012,0.0009670923,0.9661914,0.000117134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000607685,0.00005933534,0.00003868982,0.000151423,0.00003654993,0.00002360807,0.998582,0.00007633535,0.0009712859],"genre_scores_gemma":[0.001135145,0.0003910963,0.0006826198,0.000244906,0.00002333499,0.0002162486,0.9928638,0.0001382122,0.0043047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09786999,"threshold_uncertainty_score":0.3402519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569287071983254,"score_gpt":0.2341581550096858,"score_spread":0.2184652842898532,"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."}}