{"id":"W4413104994","doi":"10.1093/jnci/djaf214","title":"Childhood cancer data initiative: expanded access to tumor molecular profiling for children, adolescents, and young adults","year":2025,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"Childhood Cancer Survivors' Quality of Life","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; Children's Hospital Research Institute of Manitoba","funders":"National Cancer Institute; National Institutes of Health","keywords":"Childhood cancer; Profiling (computer programming); Medicine; Cog; Cancer; Oncology; Internal medicine","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01976328,0.0003867936,0.0008105534,0.0024041,0.001812328,0.004007845,0.003710153,0.004244145,0.01098139],"category_scores_gemma":[0.08152293,0.0005981654,0.001325981,0.003984101,0.001417108,0.004500054,0.008495696,0.008846067,0.002173014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00532881,"about_ca_system_score_gemma":0.02943308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04673497,"about_ca_topic_score_gemma":0.1010767,"domain_scores_codex":[0.9856756,0.006253229,0.001993457,0.0008209025,0.00411685,0.001139948],"domain_scores_gemma":[0.9058781,0.04235939,0.00798393,0.006056512,0.02038215,0.01733988],"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":[0.00004792041,0.00003537445,0.007764089,0.0003641956,0.00004145272,0.0001671871,0.0004513431,0.0001815977,0.0001236646,0.01763035,0.8920149,0.08117808],"study_design_scores_gemma":[0.00003582892,0.0000231501,0.008464418,0.001087957,0.0000240333,0.0001475184,0.0002797789,0.0001290741,0.0001166818,0.00272048,0.9869388,0.0000322821],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003809031,0.01886678,0.007835913,0.8781359,0.01378032,0.0004228902,0.02415024,0.0007780976,0.05222092],"genre_scores_gemma":[0.07090609,0.0880965,0.07507077,0.628831,0.03746127,0.002579425,0.07410339,0.001150101,0.0218016],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9962898,"threshold_uncertainty_score":0.1045194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07278910192201832,"score_gpt":0.409175999338519,"score_spread":0.3363868974165007,"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."}}