{"id":"W612834178","doi":"10.1007/978-1-4939-1541-5_8","title":"Cancer Predisposition in Children with Brain Tumors","year":2015,"lang":"en","type":"book-chapter","venue":"","topic":"Chromatin Remodeling and Cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine; SickKids Foundation; University of Toronto; Hospital for Sick Children","funders":"","keywords":"Medicine; Genetic predisposition; Referral; Germline; Cancer; Genetic counseling; Genetic testing; Childhood cancer; Pathology; Internal medicine; Family medicine; Genetics; Biology; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006870311,0.0002032109,0.0001670322,0.00003908823,0.00001590651,0.00001097125,0.0001025513,0.0002435927,0.0001571659],"category_scores_gemma":[0.000003862677,0.0001661623,0.00004658674,0.0000121278,0.00004228256,0.000001358545,0.0000416428,0.0001239331,0.000009199181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005480132,"about_ca_system_score_gemma":0.000231928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001823164,"about_ca_topic_score_gemma":0.0006693375,"domain_scores_codex":[0.9992211,0.000006886812,0.0001506485,0.0003408788,0.0001445274,0.0001359821],"domain_scores_gemma":[0.9995548,0.000001600391,0.00007461527,0.0002439507,0.00006598672,0.00005911503],"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":[0.002238911,0.000359712,0.03055323,0.000427219,0.003077364,0.00006421846,0.0004286952,0.0243677,0.08711238,0.01958756,0.697204,0.134579],"study_design_scores_gemma":[0.02073729,0.006609764,0.02085234,0.006289271,0.0009197772,0.001063138,0.0001238193,0.002773023,0.06026471,0.0166338,0.8525728,0.01116023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2165692,0.008882693,0.0006133323,0.0004665868,0.0001386705,0.0008780239,0.0002993384,0.0000600682,0.7720921],"genre_scores_gemma":[0.24799,0.0004366476,0.0003079155,0.0005701933,0.00071748,0.00005022347,0.00130698,0.000103932,0.7485166],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1553689,"threshold_uncertainty_score":0.6775901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025827904180585,"score_gpt":0.2465267782520968,"score_spread":0.236268499210291,"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."}}