{"id":"W3006479069","doi":"10.1088/1361-6560/ab9fcc","title":"Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy","year":2020,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"Stichting Kinderen Kankervrij","keywords":"Radiation therapy; Radiation treatment planning; Radiography; Medicine; Nuclear medicine; Wilms' tumor; Computer science; Artificial intelligence; Medical physics; Radiology; Internal medicine","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":[0.001677316,0.0003722849,0.0005668922,0.000530894,0.0001554349,0.0006160588,0.0006900724,0.0006664536,0.0009194831],"category_scores_gemma":[0.004910795,0.000394643,0.0006564982,0.0006211021,0.0004136188,0.0004770083,0.0007100773,0.0008792405,0.0003618233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007955555,"about_ca_system_score_gemma":0.0005319574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001324833,"about_ca_topic_score_gemma":0.001049676,"domain_scores_codex":[0.9993842,0.00030764,0.00003199906,0.00007073783,0.0001844398,0.00002101654],"domain_scores_gemma":[0.9986793,0.0008082612,0.0001554304,0.0001559065,0.0001577232,0.00004326626],"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":[0.0001049974,0.00002902721,0.001192896,0.00004900236,0.00003644858,0.0000384176,0.00003726517,0.9213445,0.004730509,0.001299589,0.0004527881,0.07068459],"study_design_scores_gemma":[0.00000282165,0.00001921261,0.0002832974,0.000004301287,0.000002140971,0.00002675435,0.000002536129,0.9974169,0.00144223,0.0005199485,0.0002753233,0.000004462061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04255624,0.0005154632,0.9546831,0.0001279627,0.00002016311,0.00004488322,0.000113484,0.001178053,0.0007607157],"genre_scores_gemma":[0.5414265,0.0003202113,0.4560592,0.00009107588,0.0000196106,0.0001469646,0.0005970138,0.0003013982,0.001037999],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001677316,"threshold_uncertainty_score":0.008870602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08045489297856388,"score_gpt":0.3554750836546338,"score_spread":0.2750201906760699,"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."}}