{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007143704,0.0009964145,0.001096436,0.0002051887,0.0004338007,0.0003586969,0.001035205,0.0003524729,0.0005756303],"category_scores_gemma":[0.00005486289,0.0008105606,5.283745e-7,0.0002508292,0.0003970924,0.0003610581,0.000932406,0.0005540383,0.000001494778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008466164,"about_ca_system_score_gemma":0.001412436,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9989423,"about_ca_topic_score_gemma":0.998639,"domain_scores_codex":[0.9953512,0.0004348415,0.0008190386,0.001422264,0.0009706468,0.001002024],"domain_scores_gemma":[0.9961394,0.0006127987,0.0005576992,0.001708126,0.00002411711,0.0009578427],"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":[0.00009416601,0.00009269005,0.0005787657,0.0004486473,0.0004950789,0.00008283511,0.00004426859,0.00000306049,0.0001782421,0.0003535234,0.9975456,0.00008311212],"study_design_scores_gemma":[0.001608938,0.0001300863,0.0001095322,0.00008703337,0.001986566,0.0001320306,0.000881909,0.0005271937,4.026892e-7,0.000001743646,0.993526,0.001008509],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002579436,0.02281087,0.000007941277,0.000005775507,0.0001127331,0.001391744,0.9752966,0.00005337179,0.00006298458],"genre_scores_gemma":[0.0008556897,0.003591146,0.0002093127,0.000226079,0.00005452813,0.00002858876,0.9931117,0.000381612,0.001541338],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01921972,"threshold_uncertainty_score":0.9994345,"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."}}