{"id":"W2781130506","doi":"10.3747/co.24.3710","title":"Using Family History Forms in Pediatric Oncology to Identify Patients for Genetic Assessment","year":2017,"lang":"en","type":"article","venue":"Current Oncology","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Children's Hospital of Eastern Ontario","funders":"","keywords":"Genetic testing; Medicine; Family history; Referral; Cancer; Genetic predisposition; Pediatric cancer; Genetic counseling; Sanger sequencing; Oncology; Germline mutation; Internal medicine; Mutation; Bioinformatics; Family medicine; Genetics; Gene; Disease; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004140119,0.000380006,0.0002365083,0.001451656,0.000524896,0.0005396146,0.0003347732,0.0003539111,0.002948683],"category_scores_gemma":[0.01502905,0.0001699246,0.0001820837,0.0007551584,0.000365882,0.0008133577,0.0007625347,0.0004850245,0.0008390988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004307724,"about_ca_system_score_gemma":0.001161862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002479031,"about_ca_topic_score_gemma":0.004571861,"domain_scores_codex":[0.99722,0.001690489,0.0003323559,0.0001908259,0.000349863,0.0002164491],"domain_scores_gemma":[0.9926344,0.003248348,0.002308877,0.0003802881,0.0008004375,0.0006277307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001377943,0.00009877383,0.9395478,0.00007413624,0.00001416077,0.00151173,0.0008753802,0.0002454099,0.0005066983,0.0001667374,0.004442016,0.05237931],"study_design_scores_gemma":[0.00007662649,0.0009366951,0.9348752,0.000611476,0.00006219645,0.01817463,0.002952372,0.002813231,0.002884171,0.0007380262,0.03582907,0.00004626873],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9689713,0.004119498,0.005651234,0.002759606,0.0001807964,0.0008536233,0.001156407,0.0002126933,0.01609503],"genre_scores_gemma":[0.9859303,0.002125066,0.008998468,0.0006853475,0.00007911502,0.0003715647,0.0005973978,0.00003914286,0.001173664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004140119,"threshold_uncertainty_score":0.02189535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2597434868164252,"score_gpt":0.5067306311289154,"score_spread":0.2469871443124901,"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."}}