{"id":"W6920397580","doi":"10.6068/dp14ba812f0da31","title":"Trend 2000 - 2011. Statistics Canada. CANSIM: Population and Demography - Births and Deaths | Country: Canada | Table: Deaths, by cause, Chapter XII: Diseases of the skin and subcutaneous tissue (L00 to L99), age group and sex | Variable: 45 to 49 years, Cellulitis, 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; Demographic statistics; Population; Fertility; Socioeconomic status; Summary statistics; Economic statistics; Health 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":[0.002009656,0.002187838,0.002472873,0.006286312,0.003158965,0.004121034,0.004683022,0.001401464,0.1067338],"category_scores_gemma":[0.01667562,0.001624636,0.002045964,0.02861303,0.0005388422,0.002018456,0.002312998,0.003008568,0.05424292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04257835,"about_ca_system_score_gemma":0.1068138,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939629,"about_ca_topic_score_gemma":0.9925971,"domain_scores_codex":[0.9973591,0.0002177393,0.0003374282,0.0003653371,0.001087687,0.0006327823],"domain_scores_gemma":[0.9766272,0.0009187753,0.0006206532,0.0007339744,0.01986713,0.001232184],"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":[0.00002279733,0.000005420162,0.0009570632,0.0002476309,0.00001983911,0.000006865071,0.00002771921,0.0001201742,0.000008135611,0.0003287743,0.9961913,0.00206429],"study_design_scores_gemma":[0.0002554114,0.00001523903,0.02592066,0.00116811,0.00008431148,0.0000427249,0.0005754083,0.0008014499,0.0001813519,0.0009773506,0.9698634,0.0001145851],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005539321,0.00004834579,0.00003637407,0.0001309834,0.00003166781,0.00002037142,0.9987292,0.0000729036,0.0008747353],"genre_scores_gemma":[0.0010124,0.0003207651,0.0006086698,0.0002066523,0.00002083127,0.0002048398,0.9936793,0.0001325949,0.003814022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1067338,"threshold_uncertainty_score":0.3570601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899693434061802,"score_gpt":0.2312005447690688,"score_spread":0.2122036104284508,"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."}}