{"id":"W2885769467","doi":"10.1002/pbc.27390","title":"Retrospective evaluation of a decision‐support algorithm (MIPOGG) for genetic referrals for children with neuroblastic tumors","year":2018,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"Canadian Institutes of Health Research; Marketing Science Institute","keywords":"Medicine; Algorithm; Retrospective cohort study; Neuroblastoma; Family history; Referral; Cancer; Genetic predisposition; Fanconi anemia; Pediatrics; Genetic testing; Gene duplication; Oncology; Bioinformatics; Internal medicine; Genetics; Family medicine; Disease; Gene; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003040132,0.0002140907,0.0003978011,0.000244127,0.0001098383,0.00001464638,0.0001149526,0.00006201728,0.0002005559],"category_scores_gemma":[0.0003865065,0.0001608865,0.0001241512,0.0004576333,0.00009149087,0.0000689262,0.00003165462,0.0001031657,0.00001079122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001068428,"about_ca_system_score_gemma":0.0009219385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000061036,"about_ca_topic_score_gemma":0.000068865,"domain_scores_codex":[0.9977324,0.00003990077,0.0003436512,0.0005282145,0.000915653,0.0004401705],"domain_scores_gemma":[0.9976571,0.0001315502,0.0002128644,0.0003310009,0.001451759,0.0002157578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007236616,0.00312968,0.7636916,0.0005701947,0.002361579,0.00005759638,0.0004300977,0.0001266762,0.00152887,0.00003608756,0.01249468,0.2083363],"study_design_scores_gemma":[0.0184376,0.01457342,0.9531353,0.00007864419,0.005258868,0.0001339703,0.000008176646,0.002072473,0.005448472,0.0005695671,0.00006651519,0.0002170314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991595,0.000466812,0.00357132,0.00008352553,0.0001471089,0.00361935,0.0004015725,0.00003578043,0.00007956715],"genre_scores_gemma":[0.9764229,0.000173019,0.0202958,0.00008493442,0.00138977,0.001363992,0.00004582087,0.00006384272,0.0001599288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2081193,"threshold_uncertainty_score":0.6560761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038689491995784,"score_gpt":0.3468705205031006,"score_spread":0.3164836255831427,"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."}}