{"id":"W6957756843","doi":"10.6068/dp14ba81dcd7572","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter III: Diseases of the blood and blood-forming organs and certain disorders involving the immune mechanism (D50 to D89), by age group and sex | Variable: Total, all ages, Other nutritional anaemias, Females | 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; Demographic statistics; Socioeconomic status; Fertility; Economic statistics; Summary statistics; 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":[0.001880466,0.002039592,0.002396254,0.00651121,0.003009731,0.003785207,0.004499046,0.001325297,0.0874501],"category_scores_gemma":[0.01511234,0.001531858,0.002098987,0.02945131,0.0005168365,0.001820986,0.002121583,0.002839312,0.04152694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04782078,"about_ca_system_score_gemma":0.1159791,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950866,"about_ca_topic_score_gemma":0.9938274,"domain_scores_codex":[0.9972973,0.0002011171,0.0003535575,0.0003521048,0.00114584,0.0006500472],"domain_scores_gemma":[0.9754875,0.0008163699,0.0006582367,0.0006243871,0.02122871,0.001184872],"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":[0.00002848452,0.000007146105,0.001442594,0.0003214162,0.00002799818,0.00000789639,0.00003306068,0.000136553,0.00001001571,0.0003571399,0.9953671,0.002260603],"study_design_scores_gemma":[0.0002777397,0.0000192705,0.04343816,0.001361134,0.0001194183,0.00005067654,0.0007135091,0.0008011155,0.0002175305,0.0008398978,0.9520358,0.0001256094],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007566823,0.0000588952,0.00003073017,0.0001374027,0.00003254742,0.00002183849,0.9986952,0.00006145029,0.0008864058],"genre_scores_gemma":[0.001329127,0.0003967983,0.000557724,0.000233809,0.00002293052,0.0002100957,0.9927896,0.0001017015,0.004358156],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0874501,"threshold_uncertainty_score":0.3469657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690405925835883,"score_gpt":0.2201052765777835,"score_spread":0.2032012173194247,"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."}}