{"id":"W1994566350","doi":"10.1088/0031-9155/50/23/003","title":"Robust optimization for intensity modulated radiation therapy treatment planning under uncertainty","year":2005,"lang":"en","type":"article","venue":"Physics in Medicine and Biology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"National Science Foundation","keywords":"Intensity (physics); Radiation treatment planning; Radiation therapy; Computer science; Medical physics; Nuclear medicine; Medicine; Physics; Radiology; Optics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006449919,0.0001067415,0.0002019181,0.00003707492,0.00004636102,0.000002965275,0.00003312302,0.00003756104,0.00002325591],"category_scores_gemma":[0.000002451787,0.00007535968,0.000021404,0.0000707002,0.00006649309,0.00005174186,0.000005083215,0.00005108201,8.338164e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005203134,"about_ca_system_score_gemma":0.00001086624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001202808,"about_ca_topic_score_gemma":0.000001580037,"domain_scores_codex":[0.9995387,0.00002169897,0.0001297351,0.0001660023,0.00001935226,0.000124466],"domain_scores_gemma":[0.999729,0.00007140048,0.00006592867,0.00007754397,0.00003533344,0.00002079342],"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":[0.00007966311,0.00007229711,0.01068334,0.000001571553,0.00004872475,5.901171e-8,0.0004327838,0.6749431,0.002564359,0.00383853,0.00007538217,0.3072602],"study_design_scores_gemma":[0.003791335,0.0008269835,0.0009888839,0.0000315147,0.00001800227,5.932015e-7,0.0002203573,0.959449,0.002783524,0.02614084,0.005539696,0.0002092928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1605767,0.0004149585,0.837814,0.0007501189,0.00004528709,0.0002737297,0.000006588762,0.00002818646,0.00009043354],"genre_scores_gemma":[0.979205,0.0003663566,0.01892295,0.0003795548,0.0007914403,0.00005492001,0.0002533154,0.00001082355,0.00001567174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8188911,"threshold_uncertainty_score":0.3073079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1771115759274433,"score_gpt":0.3954987243715021,"score_spread":0.2183871484440588,"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."}}