{"id":"W6958277807","doi":"10.6068/dp14ba9017c8446","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter XV: Pregnancy, childbirth and the puerperium (O00 to O99), age group and sex | Variable: Age, not stated, Other diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism complicating pregnancy, childbirth and the puerperium, 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":"Childbirth; Population statistics; Census; Population; Demographic statistics; Socioeconomic status; Infant mortality; Fertility; Social 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":[0.001631607,0.001930135,0.002343113,0.006238672,0.002657747,0.003676463,0.0045629,0.00140157,0.08348626],"category_scores_gemma":[0.01530996,0.001452036,0.001958308,0.03004201,0.0004905625,0.001678829,0.002176406,0.002884372,0.0401818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03910426,"about_ca_system_score_gemma":0.09680122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930824,"about_ca_topic_score_gemma":0.9919322,"domain_scores_codex":[0.9976001,0.0002027108,0.0003246599,0.0003360495,0.0009309874,0.0006055663],"domain_scores_gemma":[0.9794678,0.0009127971,0.0006745435,0.0006722047,0.01706682,0.001205864],"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":[0.00002679032,0.000006580175,0.001204202,0.0002924598,0.00002548626,0.000007603015,0.00002868273,0.0001459271,0.00000750323,0.0003620056,0.9960366,0.001856122],"study_design_scores_gemma":[0.0002776734,0.00001724504,0.03394711,0.001464717,0.0001085384,0.00005031875,0.0007026387,0.0009149134,0.0001820942,0.0009786863,0.9612396,0.0001164489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006025679,0.00005169533,0.00002529768,0.0001058815,0.00002638414,0.00001494285,0.9990362,0.00004975912,0.0006297512],"genre_scores_gemma":[0.001065642,0.0003138663,0.000391158,0.0001623656,0.0000171995,0.0001453732,0.9950193,0.00007234218,0.002812766],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08348626,"threshold_uncertainty_score":0.2837226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122424069947596,"score_gpt":0.2094725962143395,"score_spread":0.1982483555148635,"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."}}