{"id":"W2513479736","doi":"10.1118/1.4961810","title":"Poster ‐ 36: Effect of Planning Target Volume Coverage on the Dose Delivered in Lung Radiotherapy","year":2016,"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":"McMaster University; Juravinski Cancer Centre","funders":"","keywords":"Nuclear medicine; Margin (machine learning); Radiation treatment planning; Contouring; Medicine; Radiation therapy; Radiology; Computer science","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":[0.001072531,0.0004531402,0.0002805954,0.0004536958,0.0002251324,0.0005754278,0.0004297525,0.0003113193,0.005701578],"category_scores_gemma":[0.004889511,0.0002279255,0.0004572399,0.0003732069,0.0002888624,0.0002524032,0.0005102596,0.0003537266,0.0008535336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006239917,"about_ca_system_score_gemma":0.0003233141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315322,"about_ca_topic_score_gemma":0.0008727783,"domain_scores_codex":[0.9991743,0.0002816404,0.00004463412,0.0001013994,0.0003405728,0.00005745593],"domain_scores_gemma":[0.9984169,0.00103463,0.0002032195,0.0001613576,0.0001046315,0.00007935241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01019236,0.0004735034,0.06301114,0.001520379,0.0008850971,0.0005228736,0.0005647722,0.3242595,0.171947,0.001630891,0.005887259,0.4191054],"study_design_scores_gemma":[0.0008774142,0.01063553,0.4861379,0.0002912302,0.002182623,0.006170437,0.0002409686,0.1309954,0.3047148,0.003713039,0.05389897,0.0001416691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9174753,0.008349963,0.04818637,0.0005499984,0.0001843247,0.0001908268,0.0008871878,0.001536852,0.02263917],"genre_scores_gemma":[0.9928831,0.0004499863,0.004399681,0.00005934301,0.00003921365,0.00003301642,0.0003228804,0.0004449907,0.001367811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005701578,"threshold_uncertainty_score":0.01907367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005932982072135996,"score_gpt":0.2718232052913514,"score_spread":0.2658902232192154,"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."}}