{"id":"W1992088960","doi":"10.1118/1.3611478","title":"SU‐C‐BRC‐06: Adaptive and Robust IMRT Treatment Planning for Lung Cancer","year":2011,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Robust optimization; A priori and a posteriori; Mathematical optimization; Computer science; Breathing; Dosimetry; Mathematics; Medicine; Nuclear 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":[0.0009366789,0.0007157674,0.0003838721,0.0004026146,0.0001966398,0.0004284534,0.00102033,0.0006845843,0.001824348],"category_scores_gemma":[0.002097931,0.0003566415,0.0005375537,0.0004274769,0.0004118453,0.0003679466,0.0005233702,0.0008229669,0.000371155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008054678,"about_ca_system_score_gemma":0.001159246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00623027,"about_ca_topic_score_gemma":0.00716329,"domain_scores_codex":[0.999597,0.00009424039,0.0000169538,0.00007159086,0.0001977924,0.0000223864],"domain_scores_gemma":[0.9995397,0.0002211944,0.00006652249,0.00005130342,0.0001028296,0.0000185019],"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":[0.00006353412,0.00002603609,0.0002796214,0.00005310399,0.00002736668,0.00002367725,0.00002513675,0.9489427,0.004465229,0.001801632,0.001348031,0.04294387],"study_design_scores_gemma":[0.000007935674,0.00002332378,0.0001293027,0.000003407871,0.000004459511,0.00001422082,0.000001832633,0.9961046,0.002348441,0.0005970977,0.0007584032,0.000006931652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01621562,0.0002408039,0.9785059,0.000115483,0.00002812522,0.00007201225,0.0001451766,0.001814945,0.002861858],"genre_scores_gemma":[0.3838288,0.000146727,0.6119193,0.0001489758,0.00002738306,0.0001771437,0.0003570741,0.0007213534,0.002673275],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00623027,"threshold_uncertainty_score":0.01238799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112701135108836,"score_gpt":0.3229714562435408,"score_spread":0.2818444448924524,"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."}}