{"id":"W2793307542","doi":"10.1016/j.prro.2018.02.012","title":"Integration of radiobiological modeling and indices in comparative plan evaluation: A study comparing VMAT and 3D-CRT in patients with NSCLC","year":2018,"lang":"en","type":"article","venue":"Practical Radiation Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"BC Cancer Agency; University of British Columbia","funders":"","keywords":"Medicine; Dose-volume histogram; Nuclear medicine; Radiation therapy; Lung cancer; Cancer; Radiation treatment planning; Radiology; Oncology; Internal 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":[0.001456245,0.0003137827,0.0005199346,0.000619355,0.0002270427,0.0006141959,0.0003456814,0.0003015915,0.0008183386],"category_scores_gemma":[0.002536186,0.0001727191,0.0006701036,0.0006556523,0.0003258581,0.0005977851,0.0004677577,0.0002902118,0.0001452836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005561628,"about_ca_system_score_gemma":0.0004193034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001593175,"about_ca_topic_score_gemma":0.00156639,"domain_scores_codex":[0.9994904,0.0002371742,0.00004557594,0.00007425838,0.0001168858,0.00003560361],"domain_scores_gemma":[0.9991997,0.0004105279,0.0001026211,0.0001043164,0.0001317168,0.00005107706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01777644,0.001825069,0.7679789,0.0002209254,0.0004393555,0.000236829,0.001109813,0.01211805,0.01192987,0.0002935712,0.000220905,0.1858503],"study_design_scores_gemma":[0.0002829112,0.01643142,0.9366633,0.00003331701,0.0009635372,0.0008952448,0.001234141,0.03252587,0.008750609,0.0003053057,0.001855363,0.00005899213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976961,0.0005219776,0.001199443,0.00001567915,0.00000585443,0.00002854246,0.00006717827,0.000009163997,0.0004559957],"genre_scores_gemma":[0.9988663,0.0001089793,0.0008189877,0.000006306017,0.000005664896,0.00001185478,0.00006572544,0.000006269475,0.0001099003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001593175,"threshold_uncertainty_score":0.007701457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214220761647519,"score_gpt":0.4475324121535944,"score_spread":0.3261103359888424,"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."}}