{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002679252,0.0006644042,0.0009011278,0.0006555454,0.0002034076,0.001199422,0.0006317954,0.0008686897,0.003560042],"category_scores_gemma":[0.01138139,0.000312457,0.00244393,0.0004826266,0.0003184134,0.0007296581,0.0005740796,0.0008356029,0.0001370323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003031529,"about_ca_system_score_gemma":0.003063807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008851403,"about_ca_topic_score_gemma":0.004713282,"domain_scores_codex":[0.9986773,0.0009067819,0.00005598215,0.0001005735,0.0001277622,0.0001315606],"domain_scores_gemma":[0.9950351,0.003970132,0.00058268,0.0000728932,0.0001283732,0.0002109166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006120165,0.000428596,0.06821486,0.001103482,0.002573595,0.0004774613,0.00009689092,0.8308967,0.0009393806,0.006171432,0.002813729,0.08016364],"study_design_scores_gemma":[0.002354763,0.004922081,0.05708919,0.001591789,0.005422868,0.001959344,0.0003089469,0.8993743,0.001851196,0.02052169,0.004477076,0.0001268562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420356,0.01372672,0.02524297,0.005907655,0.0001161242,0.000521818,0.003586755,0.0001298087,0.008732663],"genre_scores_gemma":[0.9962024,0.001196391,0.001653388,0.0001609213,0.00001498258,0.00008039657,0.0004050756,0.000004286302,0.0002822709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008851403,"threshold_uncertainty_score":0.02199531,"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."}}