{"id":"W6938774164","doi":"10.6068/dp14ba82054118","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter II: Neoplasms (C00 to D48), age group and sex | Variable: 1 to 4 years, Hodgkin's disease, unspecified, Females | 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; Demographic statistics; Fertility; Socioeconomic status; Economic statistics; Demographic analysis; Summary 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":[0.002108278,0.002074515,0.0023442,0.006168366,0.003232501,0.004036281,0.004627591,0.001325955,0.1055133],"category_scores_gemma":[0.01592129,0.001583259,0.002071401,0.0269231,0.0005096605,0.002000755,0.002191999,0.002924536,0.04818396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04836918,"about_ca_system_score_gemma":0.1191469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946613,"about_ca_topic_score_gemma":0.9935054,"domain_scores_codex":[0.9972572,0.0002265638,0.0003407463,0.000358743,0.001160718,0.0006561133],"domain_scores_gemma":[0.9741034,0.000895825,0.0006524131,0.0007284304,0.02229333,0.001326672],"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":[0.00002750576,0.000006434235,0.001177094,0.000291446,0.00002324997,0.000007704988,0.00003071687,0.0001339714,0.00001031268,0.0004092145,0.9951243,0.002758021],"study_design_scores_gemma":[0.000231769,0.00001630643,0.02929083,0.001221903,0.00009149482,0.0000438137,0.0005669892,0.0008141429,0.0001922741,0.000968041,0.96645,0.0001124327],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007474732,0.00006619215,0.00004865325,0.0001666556,0.00003888899,0.0000294675,0.9982097,0.00008557646,0.001279997],"genre_scores_gemma":[0.001398588,0.0004474083,0.0008746827,0.0002689798,0.00002502582,0.0002626364,0.9911366,0.0001662496,0.00541993],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1055133,"threshold_uncertainty_score":0.3529772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591816625039674,"score_gpt":0.2395362434852841,"score_spread":0.2136180772348873,"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."}}