{"id":"W2915800171","doi":"10.1002/pbc.27683","title":"Stage at diagnosis for children with blood cancers in Australia: Application of the Toronto Paediatric Cancer Stage Guidelines in a population‐based national childhood cancer registry","year":2019,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Acute Lymphoblastic Leukemia research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"National Health and Medical Research Council; Cancer Australia","keywords":"Medicine; Stage (stratigraphy); Cancer registry; Cancer; Population; Cohort; Internal medicine; Blood cancer; Pediatrics; Lymphoma; Disease; Oncology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004058377,0.0003791599,0.0006221689,0.0002383737,0.00008256165,0.00001839199,0.0004217759,0.000254634,0.0007227394],"category_scores_gemma":[0.0002257805,0.0002855597,0.0001667098,0.001376876,0.00006201609,0.0001905722,0.0001111929,0.0003212679,0.000002879127],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004500309,"about_ca_system_score_gemma":0.004880428,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2950769,"about_ca_topic_score_gemma":0.1996533,"domain_scores_codex":[0.9963595,0.00006896935,0.0008642775,0.0007882018,0.001273365,0.0006457488],"domain_scores_gemma":[0.997723,0.000257513,0.0006573243,0.0005853943,0.0006129523,0.0001638446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003401331,0.0003145666,0.9738797,0.0005974909,0.0001940308,0.000001921631,0.0001414704,0.02229806,0.0001065682,0.00002352253,0.001654115,0.0004484389],"study_design_scores_gemma":[0.01333869,0.0001664158,0.9824101,0.0002155563,0.0007615216,0.0000039412,0.00003463997,0.001505602,0.0007822659,0.00000850787,0.0004367719,0.0003359496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9848534,0.007694694,0.00001948515,0.001137132,0.0002052401,0.003831295,0.002175229,0.00003245488,0.00005104054],"genre_scores_gemma":[0.985505,0.003773282,0.0004584659,0.0004525016,0.001230302,0.006326789,0.000171095,0.00008136409,0.002001176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09542366,"threshold_uncertainty_score":0.9999596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.019422265344805,"score_gpt":0.3307741900625914,"score_spread":0.3113519247177864,"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."}}