{"id":"W1564689053","doi":"10.1002/cncr.29170","title":"Conditional survival in pediatric malignancies: Analysis of data from the Childhood Cancer Survivor Study and the Surveillance, Epidemiology, and End Results Program","year":2014,"lang":"en","type":"article","venue":"Cancer","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Cancer Institute","keywords":"Medicine; Epidemiology; Cancer; Cancer registry; Surveillance, Epidemiology, and End Results; Pediatrics; Cohort; Population; Pediatric cancer; Cumulative incidence; Incidence (geometry); Cause of death; Cohort study; Epidemiology of cancer; Demography; Internal medicine; Disease; Environmental health; Breast cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002755372,0.000273069,0.0003936152,0.001577011,0.0001767795,0.0003484091,0.0004006262,0.0001932509,0.0008406991],"category_scores_gemma":[0.0105893,0.0001627328,0.0006473101,0.002463416,0.0001915889,0.0004642048,0.0007900955,0.0005754242,0.00007955655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004040262,"about_ca_system_score_gemma":0.0007802497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0118606,"about_ca_topic_score_gemma":0.01035151,"domain_scores_codex":[0.9985867,0.0005982931,0.0001606434,0.0002196135,0.0002883444,0.0001465822],"domain_scores_gemma":[0.9904274,0.003218477,0.004255754,0.0008431414,0.00067686,0.0005783823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008751259,0.000007790479,0.9979663,0.00001291346,0.0001169452,0.00002445686,0.00002599693,0.0003022459,0.00003288135,0.00005139544,0.0002577703,0.001113744],"study_design_scores_gemma":[0.000006268871,0.00003951916,0.9986253,0.000007712241,0.00005048782,0.0001239979,0.00005095164,0.0007776907,0.00004247424,0.00003512113,0.0002366997,0.000003739275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906997,0.0003637316,0.0005411759,0.00005588326,0.000003934119,0.00001637582,0.008018394,0.00001508676,0.0002857758],"genre_scores_gemma":[0.9804246,0.0002448131,0.0004540788,0.00001940166,0.000007663672,0.00003467594,0.01875591,0.000007694055,0.00005104232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0118606,"threshold_uncertainty_score":0.02358317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07386333881311602,"score_gpt":0.3865672778713724,"score_spread":0.3127039390582564,"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."}}