{"id":"W2136885990","doi":"10.1016/j.ijrobp.2009.06.031","title":"Results of a Multi-Institution Deformable Registration Accuracy Study (MIDRAS)","year":2009,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":360,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005938765,0.0001882507,0.000386232,0.0001554341,0.00008051078,0.00002763671,0.0004627067,0.0001081816,0.0000241321],"category_scores_gemma":[0.0001517989,0.0001696607,0.00018241,0.0001747956,0.0001057373,0.0008315488,0.00002495327,0.0003448733,0.000003224384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003505053,"about_ca_system_score_gemma":0.0003380925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005811521,"about_ca_topic_score_gemma":0.000003637609,"domain_scores_codex":[0.9981307,0.0001723885,0.001064851,0.0002027611,0.0002499024,0.0001793829],"domain_scores_gemma":[0.9965546,0.000192092,0.002238773,0.0001936078,0.0007557484,0.00006517903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001150433,0.003866864,0.1778302,0.000003749112,0.0007362521,0.00001381486,0.00192797,0.009214787,0.02430473,0.05821211,0.0009228562,0.7218163],"study_design_scores_gemma":[0.09446359,0.02678098,0.1871827,0.0004373057,0.0007869666,0.0002440187,0.002342618,0.07430666,0.19932,0.2404409,0.1710679,0.00262645],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3411905,0.0001445294,0.6545324,0.0007769221,0.001043402,0.000462099,0.00009895393,0.00005781409,0.001693441],"genre_scores_gemma":[0.9794586,0.00009381846,0.01892277,0.0001344461,0.001251691,0.000008185842,0.00007384157,0.0000128899,0.00004379866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7191898,"threshold_uncertainty_score":0.6918564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02318916188674516,"score_gpt":0.3628957818184614,"score_spread":0.3397066199317162,"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."}}