{"id":"W2911319598","doi":"10.1002/pbc.27629","title":"Cost‐effectiveness of early cancer surveillance for patients with Li–Fraumeni syndrome","year":2019,"lang":"en","type":"article","venue":"Pediatric Blood & Cancer","topic":"Cancer-related Molecular Pathways","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Cancer Institute","keywords":"Medicine; Li–Fraumeni syndrome; Cancer; Population; Surveillance, Epidemiology, and End Results; Cost effectiveness; Cancer registry; Reimbursement; Oncology; Internal medicine; Health care; Environmental health; Germline mutation; Risk analysis (engineering)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002546542,0.0003172855,0.0007603426,0.0001941643,0.00004596613,0.00001337342,0.0001639258,0.0001858877,0.0002178447],"category_scores_gemma":[0.0000515694,0.0002714583,0.0001748758,0.000703473,0.00005285358,0.0001049837,0.0000477682,0.0002593242,0.00001928651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214828,"about_ca_system_score_gemma":0.0007154082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001093869,"about_ca_topic_score_gemma":0.0001085739,"domain_scores_codex":[0.9978809,0.00007353335,0.0003703342,0.0006001312,0.0005579064,0.0005172334],"domain_scores_gemma":[0.9981576,0.0002261152,0.0003177376,0.0005024864,0.0006081128,0.0001879428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002061644,0.0004291834,0.9926412,0.001972202,0.0004436752,0.00001112048,0.00009008102,0.0003390565,0.0007383004,0.0000145141,0.0001809893,0.001078054],"study_design_scores_gemma":[0.01591314,0.002740637,0.9759983,0.0004431696,0.001128275,0.00001258916,0.000007018316,0.00003639703,0.0023025,0.00001345893,0.0009872124,0.0004172827],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9890355,0.005312325,0.0001812041,0.00004668403,0.0008654871,0.003718538,0.0005754836,0.00006978375,0.0001950177],"genre_scores_gemma":[0.9970289,0.000858249,0.0001980036,0.00006982561,0.0002634656,0.001192385,0.00006983304,0.0001079137,0.0002113739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01664286,"threshold_uncertainty_score":0.9999738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022936679193769,"score_gpt":0.2586432321011692,"score_spread":0.2484138653092315,"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."}}