{"id":"W2999582164","doi":"10.1016/j.ejmp.2019.12.002","title":"Geometric inaccuracy and co-registration errors for CT, DynaCT and MRI images used in robotic stereotactic radiosurgery treatment planning","year":2020,"lang":"en","type":"article","venue":"Physica Medica","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland; Ottawa Hospital; University of Ottawa; Carleton University","funders":"Ministry of National Guard Health Affairs","keywords":"Imaging phantom; Radiosurgery; Image registration; Quality assurance; Nuclear medicine; Radiation treatment planning; Cyberknife; Magnetic resonance imaging; Medicine; Computer science; Computer vision; Artificial intelligence; Radiology; Radiation therapy; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000750898,0.0001862091,0.000346687,0.0001073546,0.00007127154,0.00003772799,0.00006264979,0.00001716808,0.00001508649],"category_scores_gemma":[0.00002889504,0.0001646412,0.0000514939,0.00022965,0.0000774576,0.0002675024,0.00001240011,0.0001050121,5.330538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000553154,"about_ca_system_score_gemma":0.00004451595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007058082,"about_ca_topic_score_gemma":5.85811e-7,"domain_scores_codex":[0.999108,0.00003588991,0.0002113727,0.0003063183,0.0001213108,0.0002170837],"domain_scores_gemma":[0.9991616,0.0004221761,0.0001529598,0.0001222108,0.00001312823,0.000127923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003774563,0.001001293,0.5975158,0.0003853498,0.0007458968,0.00007639745,0.006959389,0.0008508388,0.02145893,0.001433241,0.005224002,0.3639714],"study_design_scores_gemma":[0.04255926,0.01077868,0.4183035,0.001676223,0.001415379,0.00008418025,0.007730624,0.2062919,0.1883355,0.01305148,0.1028557,0.006917558],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7588585,0.0007900298,0.2355634,0.003129154,0.00005997703,0.001118565,0.00005569549,0.000128923,0.0002957611],"genre_scores_gemma":[0.9959167,0.00006571099,0.003511488,0.00007106466,0.0002042861,0.0001281041,0.00005595894,0.00002609039,0.0000205589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3570538,"threshold_uncertainty_score":0.6713874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968608021250572,"score_gpt":0.3266357625360106,"score_spread":0.2969496823235049,"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."}}