{"id":"W6920153471","doi":"10.6068/dp14ba80c09b975","title":"Trend 2005 - 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: 10 to 14 years, Sickle-cell trait, Both sexes | Units: # Persons, 2005-2011. 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":[0.001771313,0.002050691,0.002479394,0.006299047,0.002927591,0.003728942,0.004517257,0.001298339,0.08611267],"category_scores_gemma":[0.01417058,0.001497805,0.002094537,0.02887382,0.0005057313,0.00171589,0.002017124,0.002829217,0.0395314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04663841,"about_ca_system_score_gemma":0.1160693,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9951636,"about_ca_topic_score_gemma":0.9939693,"domain_scores_codex":[0.9973888,0.0001965722,0.000336119,0.0003466496,0.001100999,0.0006308368],"domain_scores_gemma":[0.9778786,0.0007995918,0.0006230031,0.0005813746,0.01896575,0.001151854],"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":[0.00002682848,0.000006391403,0.001394838,0.0002977533,0.00002806275,0.000007806439,0.00002945066,0.0001278145,0.000009654375,0.00034337,0.9956278,0.002100257],"study_design_scores_gemma":[0.0002812196,0.00001894967,0.04235385,0.001383544,0.000125922,0.00005434556,0.000695023,0.0008225064,0.0002223273,0.0008737438,0.9530444,0.000124066],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007536167,0.00006271521,0.00003113164,0.0001342915,0.00003350539,0.00001928254,0.9987811,0.00005844156,0.0008042482],"genre_scores_gemma":[0.001334461,0.0004080515,0.0005301334,0.0002326523,0.00002324663,0.0001823893,0.9930657,0.00009495256,0.004128415],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08611267,"threshold_uncertainty_score":0.338387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01062251554043099,"score_gpt":0.2054704329488759,"score_spread":0.194847917408445,"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."}}