{"id":"W4362693902","doi":"10.1117/12.2652984","title":"Predicting the dose distribution of multi-lesion lung stereotactic ablative radiotherapy plans using generative adversarial networks","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"SABR volatility model; Radiation therapy; Medicine; Radiation treatment planning; Ablative case; Nuclear medicine; Computer science; Medical physics; Radiology; Mathematics","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":[0.0007566942,0.0008748815,0.000397626,0.0005009715,0.0002184734,0.0005739374,0.0008750086,0.0008965202,0.001439244],"category_scores_gemma":[0.002157874,0.0004657395,0.0007500362,0.0003160447,0.0005654371,0.0004035121,0.0006560908,0.001072409,0.0003320068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304097,"about_ca_system_score_gemma":0.0005854308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008879187,"about_ca_topic_score_gemma":0.007980634,"domain_scores_codex":[0.9997004,0.00009860935,0.000009942213,0.00007046344,0.00007979204,0.00004075985],"domain_scores_gemma":[0.9991419,0.000621815,0.00008071989,0.00004256054,0.00007308706,0.00003977587],"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":[0.00002192129,0.000009306869,0.0003783531,0.000006336108,0.000005940302,0.00001795495,0.000007356858,0.9948806,0.0004389555,0.000187736,0.0001941399,0.003851503],"study_design_scores_gemma":[0.000001298196,0.000004881256,0.00008827107,0.000001233871,0.000001265164,0.000006045444,0.000001395599,0.999333,0.000292797,0.0002156112,0.0000526644,0.000001560116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2364993,0.0006082447,0.7547891,0.0006384632,0.0001008779,0.0001601264,0.0004879238,0.00206014,0.004655764],"genre_scores_gemma":[0.9503174,0.0001676205,0.04609347,0.0002280395,0.00002635515,0.00009517484,0.0005704879,0.0001510436,0.002350364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008879187,"threshold_uncertainty_score":0.01765501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02633288296388362,"score_gpt":0.3198058255955086,"score_spread":0.2934729426316249,"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."}}