{"id":"W2523470665","doi":"10.1120/jacmp.v17i5.6291","title":"Comprehensive dosimetric planning comparison for early‐stage, non‐small cell lung cancer with SABR: fixed‐beam IMRT versus VMAT versus TomoTherapy","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Western University","funders":"Canadian Institutes of Health Research; Ontario Institute for Cancer Research","keywords":"Tomotherapy; SABR volatility model; Stage (stratigraphy); Medicine; Nuclear medicine; Lung cancer; Medical physics; Radiation therapy; Radiology; Oncology; Mathematics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000381092,0.0003843178,0.00111406,0.00008648662,0.0001234491,0.00003798052,0.0005967563,0.0002093235,0.0002245823],"category_scores_gemma":[0.00003325283,0.0002443003,0.0004107203,0.0003100267,0.0003055539,0.0001601565,0.00006091392,0.0008896991,0.000003363801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001332491,"about_ca_system_score_gemma":0.0003565223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001868631,"about_ca_topic_score_gemma":9.213305e-7,"domain_scores_codex":[0.9970354,0.00005320199,0.001220199,0.0003983632,0.0007684371,0.0005244428],"domain_scores_gemma":[0.9936996,0.003860597,0.001302452,0.0003353094,0.000298188,0.0005038754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.05414226,0.004288274,0.1882744,0.0002845123,0.005336007,0.00004506846,0.0009994388,0.002153128,0.005041504,0.003887356,0.02179726,0.7137508],"study_design_scores_gemma":[0.4031445,0.04019989,0.02736698,0.004942658,0.003737884,0.000008089797,0.002199136,0.01131462,0.2556288,0.01127707,0.2329901,0.007190225],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4147834,0.0002711523,0.5821831,0.0002249553,0.00100443,0.0006049363,0.00004156931,0.00004753066,0.0008389083],"genre_scores_gemma":[0.9717283,0.000214549,0.02329082,0.0003390138,0.004175998,0.00008072017,0.000006441954,0.0001063534,0.00005784993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7065606,"threshold_uncertainty_score":0.9962279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0490973786935944,"score_gpt":0.3999503813874762,"score_spread":0.3508530026938819,"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."}}