{"id":"W2329687654","doi":"10.1016/j.ejmp.2016.03.013","title":"Robustness assessment of a novel IMRT planning method for lung radiotherapy","year":2016,"lang":"en","type":"article","venue":"Physica Medica","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sunnybrook Health Science Centre; Carleton University; University of Toronto; Toronto Metropolitan University; Princess Margaret Cancer Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Robustness (evolution); Amplitude; Radiation treatment planning; Radiation therapy; Lung cancer; Nuclear medicine; Computer science; Mathematics; Medicine; Physics; Radiology; Oncology; Optics; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002921855,0.001064619,0.0008685895,0.001071051,0.0004162119,0.001443454,0.001281056,0.001584889,0.001918664],"category_scores_gemma":[0.009015447,0.0004708311,0.001078195,0.0006561283,0.0005145626,0.0006546623,0.00102893,0.0009001799,0.0005097951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008000978,"about_ca_system_score_gemma":0.001069105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00334479,"about_ca_topic_score_gemma":0.002443527,"domain_scores_codex":[0.9985775,0.0004946025,0.00007609682,0.0002552613,0.0005259215,0.00007069152],"domain_scores_gemma":[0.9960268,0.002430259,0.0003128232,0.0004018451,0.0007254832,0.0001027714],"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":[0.0006013713,0.00005907825,0.002192381,0.000284309,0.0003361886,0.00009347327,0.0000512502,0.8118003,0.02490068,0.002603173,0.001095309,0.1559824],"study_design_scores_gemma":[0.000007801289,0.00005072299,0.0006707307,0.000007732073,0.00002462228,0.00005603056,0.000004000405,0.9945081,0.003842889,0.0004445738,0.0003726258,0.00001026398],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03138271,0.0006388807,0.9651334,0.0002279931,0.00009412344,0.00006491436,0.0001559627,0.0009956326,0.001306357],"genre_scores_gemma":[0.5750161,0.0003329763,0.4209747,0.0002141294,0.0001206798,0.00009604832,0.000695194,0.000554752,0.001995325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00334479,"threshold_uncertainty_score":0.01545238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02030870091592035,"score_gpt":0.3885749003214958,"score_spread":0.3682661994055755,"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."}}