{"id":"W6997313106","doi":"","title":"Using linear programming in lung cancer treatment planning at the Queen Elizabeth II Health Sciences Centre","year":2014,"lang":"en","type":"article","venue":"Saint Mary's University Institutional Repository (Saint Mary's University)","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Atlantic Canada Opportunities Agency; University of Oxford; Harvard University; Université de Moncton; University of Pennsylvania","keywords":"Queen (butterfly); Radiation treatment planning; Lung cancer; Linear programming; Radiation therapy; Cancer treatment","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001682132,0.0005284663,0.0005346427,0.000417938,0.0007265287,0.001755563,0.0007261428,0.0006317695,0.00482],"category_scores_gemma":[0.005010707,0.0008536011,0.0005391396,0.0007694242,0.000481487,0.000642121,0.000762708,0.001143507,0.001065875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003597436,"about_ca_system_score_gemma":0.007502194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.178077,"about_ca_topic_score_gemma":0.2589046,"domain_scores_codex":[0.9990742,0.0005225436,0.00002536348,0.00007625065,0.0002309011,0.00007067544],"domain_scores_gemma":[0.9976694,0.001833425,0.0001126701,0.00005186938,0.0002702528,0.00006248854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000783191,0.0000341928,0.001032245,0.00007573311,0.00001634152,0.00008404409,0.0001196561,0.9417396,0.001567256,0.004678329,0.003047702,0.04752664],"study_design_scores_gemma":[0.00001869103,0.00003183881,0.0003253551,0.00001695266,0.000007094254,0.00001998212,0.0000486235,0.9924268,0.001254058,0.002425064,0.003410461,0.0000151805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02510867,0.0005900666,0.9579907,0.001609082,0.00005495335,0.0001348033,0.0002090346,0.001064137,0.01323871],"genre_scores_gemma":[0.3634971,0.00103049,0.6131786,0.00038258,0.00004505197,0.0002609785,0.0003596343,0.0006490172,0.02059643],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.178077,"threshold_uncertainty_score":0.354081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525685988634712,"score_gpt":0.269138778810147,"score_spread":0.2538819189237999,"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."}}