{"id":"W4406980788","doi":"10.1016/j.phro.2025.100705","title":"Towards faster plan adaptation for proton arc therapy using initial treatment plan information","year":2025,"lang":"en","type":"article","venue":"Physics and Imaging in Radiation Oncology","topic":"Radiation Therapy and Dosimetry","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Particle Physics","funders":"Fédération Wallonie-Bruxelles; Fonds De La Recherche Scientifique - FNRS","keywords":"Plan (archaeology); Adaptation (eye); Computer science; Proton therapy; Process management; Psychology; Medicine; Business; Neuroscience; Geography; Internal medicine; Radiation therapy","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":[0.000122359,0.00009818971,0.000183911,0.0001846512,0.00007250303,0.00003168834,0.00002197718,0.00005195737,0.000006297084],"category_scores_gemma":[0.00002143288,0.00008857848,0.00003615844,0.0001378738,0.00002750769,0.0003287522,0.000004541814,0.00005643391,0.000001139027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002710827,"about_ca_system_score_gemma":0.0002815399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009704712,"about_ca_topic_score_gemma":0.000003709558,"domain_scores_codex":[0.9994181,0.00004163079,0.0002403385,0.0001134213,0.00006321312,0.0001232764],"domain_scores_gemma":[0.9996452,0.00008320438,0.0001130496,0.00007117124,0.0000566649,0.00003071279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007670666,0.0001616366,0.0267605,0.00004687505,0.00003951044,7.819999e-7,0.003435633,0.001105747,0.0007847054,0.001645501,0.00006235435,0.9651897],"study_design_scores_gemma":[0.01957477,0.001331809,0.06443182,0.00008165935,0.00007511202,0.0000129709,0.001034984,0.8067528,0.01224686,0.006494236,0.08772178,0.0002411929],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8101597,0.0005441227,0.1785282,0.003600634,0.000592603,0.00321222,0.0000498431,0.0000615957,0.003251038],"genre_scores_gemma":[0.9960011,0.000196021,0.001507044,0.001634923,0.000192715,0.0002100286,0.0002345088,0.000006927251,0.0000167415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9649485,"threshold_uncertainty_score":0.3612125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05479670391350528,"score_gpt":0.3760311681278771,"score_spread":0.3212344642143719,"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."}}