{"id":"W1977927642","doi":"10.1016/j.ijrobp.2009.07.376","title":"Intrafractional Target Position Accuracy for Lung Stereotactic Body Radiotherapy (SBRT) using Cone-beam CT (CBCT)","year":2009,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Nuclear medicine; Cone beam computed tomography; Cone beam ct; Radiation therapy; Radiology; Computed tomography","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":[0.001399586,0.0005344921,0.0004290254,0.0008250791,0.0003044742,0.001027665,0.0008201391,0.0006175246,0.001597552],"category_scores_gemma":[0.005739538,0.000528599,0.0004531876,0.0005139959,0.0003009042,0.0005662601,0.0006255496,0.0005938394,0.0006866941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007525216,"about_ca_system_score_gemma":0.0007911311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01101682,"about_ca_topic_score_gemma":0.01136759,"domain_scores_codex":[0.9989935,0.0001985326,0.0001020726,0.0001743291,0.0004943402,0.0000373146],"domain_scores_gemma":[0.9975896,0.00105406,0.0004267577,0.0003453568,0.0004992182,0.00008494528],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01074674,0.0002541469,0.1327656,0.0009993423,0.0005304784,0.0001707095,0.001467983,0.07018942,0.4148229,0.0009572126,0.003504761,0.3635907],"study_design_scores_gemma":[0.0003487867,0.001879064,0.5995119,0.0002158141,0.001307876,0.001969462,0.0002647722,0.1436372,0.2435284,0.0006528447,0.00642834,0.0002555273],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.834248,0.01017851,0.1401639,0.0003686804,0.000225807,0.0001828825,0.001861493,0.003915198,0.008855569],"genre_scores_gemma":[0.9820803,0.0005139268,0.01527621,0.00006805966,0.00001395372,0.00002938459,0.0004808663,0.0006347278,0.0009025746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01101682,"threshold_uncertainty_score":0.02190536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01528784886159884,"score_gpt":0.3590443833819563,"score_spread":0.3437565345203575,"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."}}