{"id":"W2003685825","doi":"10.1118/1.4888094","title":"SU‐E‐J‐42: Customized Deformable Image Registration Using Open‐Source Software SlicerRT","year":2014,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Imaging phantom; Image registration; Artificial intelligence; Computer vision; Ground truth; Computer science; Hounsfield scale; Voxel; Software; Medical imaging; Nuclear medicine; Image (mathematics); Computed tomography; 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":[0.002303342,0.001175516,0.0006445106,0.001008947,0.0002935035,0.001151943,0.001744384,0.0008401141,0.01352711],"category_scores_gemma":[0.005349311,0.0009017264,0.001336901,0.0006281404,0.0004083363,0.0009276032,0.001517118,0.001069932,0.003723635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003653892,"about_ca_system_score_gemma":0.001128709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001200321,"about_ca_topic_score_gemma":0.001869349,"domain_scores_codex":[0.9991935,0.0001366286,0.0001061737,0.0001837875,0.0003191128,0.00006090391],"domain_scores_gemma":[0.9986886,0.0004510145,0.0001751877,0.000349344,0.0002656288,0.00007021078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004098931,0.0004521095,0.009701317,0.001890738,0.00117113,0.001290463,0.001072473,0.04604118,0.2489883,0.01539958,0.09195524,0.5779386],"study_design_scores_gemma":[0.0006272403,0.0012817,0.01709451,0.0001952144,0.0003801718,0.005507527,0.0001818689,0.4311781,0.3870978,0.008589187,0.1471803,0.0006862822],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.0352311,0.0005064372,0.8539084,0.0001604808,0.0002169107,0.0003189071,0.002202684,0.1023835,0.005071654],"genre_scores_gemma":[0.2037644,0.000405013,0.7393615,0.0003971098,0.00007937357,0.0009519957,0.009245715,0.03992767,0.005867185],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01352711,"threshold_uncertainty_score":0.04525262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01494038228750218,"score_gpt":0.2584891197890906,"score_spread":0.2435487375015885,"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."}}