{"id":"W2050112267","doi":"10.1088/1742-6596/489/1/012037","title":"2D-3D registration for brain radiation therapy using a 3D CBCT and a single limited field-of-view 2D kV radiograph","year":2014,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Imaging phantom; Standard deviation; Radiography; Nuclear medicine; Intensity (physics); Image registration; Medicine; Mathematics; Physics; Artificial intelligence; Computer science; Optics; Radiology; Image (mathematics); Statistics","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":[0.001824447,0.0008097806,0.0009516716,0.001430746,0.0003574791,0.001656027,0.0009601091,0.000789691,0.002156993],"category_scores_gemma":[0.005516686,0.0006554642,0.001267846,0.0009663905,0.0005518345,0.0006520122,0.00163725,0.0006958721,0.001112958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007477717,"about_ca_system_score_gemma":0.001427196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005185992,"about_ca_topic_score_gemma":0.007247353,"domain_scores_codex":[0.9982659,0.0004725907,0.00009468856,0.0003049887,0.000789799,0.00007201012],"domain_scores_gemma":[0.9990478,0.0003396958,0.0001329029,0.0002556767,0.0001869996,0.00003692386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001403009,0.0002558698,0.006476399,0.0004626549,0.0003282294,0.0003491209,0.0005055389,0.3289809,0.1951061,0.00315493,0.002615786,0.4603615],"study_design_scores_gemma":[0.0001133378,0.0006945552,0.02064011,0.0000471841,0.0001754095,0.0009781803,0.0001502333,0.8394583,0.12981,0.002326898,0.005418443,0.0001873873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09694605,0.0004673895,0.8955166,0.0001538179,0.00003997499,0.0003027573,0.0004933483,0.004807422,0.001272598],"genre_scores_gemma":[0.4408551,0.0002550101,0.555857,0.00007348431,0.00001825884,0.0002222946,0.0007724452,0.0008431119,0.001103381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005185992,"threshold_uncertainty_score":0.0103116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02909919518540928,"score_gpt":0.3012271827478938,"score_spread":0.2721279875624846,"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."}}