{"id":"W2277997336","doi":"10.14288/1.0167188","title":"4D cone-beam CT image reconstruction of Varian TrueBeam v1.6 projection images for clinical quality assurance of stereotactic ablative radiotherapy to the lung","year":2015,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Truebeam; Cone beam ct; Ablative case; Image-guided radiation therapy; Quality assurance; Projection (relational algebra); Cone beam computed tomography; Medicine; Iterative reconstruction; Image quality; Nuclear medicine; Radiosurgery; Radiology; Medical physics; Radiation therapy; Computer vision; Computer science; Optics; Beam (structure); Linear particle accelerator; Physics; Computed tomography; Image (mathematics)","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":[0.001248238,0.0004819664,0.0002455078,0.001478401,0.000195156,0.001041363,0.0003908272,0.000478497,0.003312476],"category_scores_gemma":[0.002511363,0.0005557892,0.0004230769,0.0008280145,0.0002000886,0.0003959257,0.0002791319,0.0005606851,0.001135778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924217,"about_ca_system_score_gemma":0.0009848868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693315,"about_ca_topic_score_gemma":0.002487109,"domain_scores_codex":[0.9996579,0.00007835306,0.00003336537,0.00003838127,0.0001714651,0.00002056569],"domain_scores_gemma":[0.999164,0.0002467432,0.00009668724,0.0001293972,0.0003338703,0.00002933043],"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":[0.0009029091,0.0002006378,0.01009128,0.0008235839,0.0001085844,0.0006599594,0.0005109169,0.06258795,0.5570209,0.003716909,0.004968255,0.3584082],"study_design_scores_gemma":[0.00009112246,0.0004933182,0.05911436,0.0001894652,0.0001605487,0.004878826,0.000243407,0.5938315,0.3219976,0.00134183,0.01747929,0.0001787998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2624265,0.00112977,0.7259143,0.0002780933,0.00007736784,0.0006290707,0.001670442,0.002867076,0.005007513],"genre_scores_gemma":[0.4769503,0.001099865,0.5161614,0.00005842636,0.00001845407,0.000273722,0.001554613,0.001050616,0.002832482],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003312476,"threshold_uncertainty_score":0.01108134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400410003551573,"score_gpt":0.2995954862782099,"score_spread":0.2755913862426942,"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."}}