{"id":"W2778298633","doi":"10.1016/j.ejmp.2017.11.017","title":"Image quality for radiotherapy CT simulators with different scanner bore size","year":2017,"lang":"en","type":"article","venue":"Physica Medica","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Montreal Neurological Institute and Hospital; Jewish General Hospital; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scanner; Image quality; Computer science; Computer vision; Artificial intelligence; Medical physics; Nuclear medicine; Image (mathematics); Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001217681,0.0002911373,0.0004665785,0.00002001715,0.0004456587,0.00009501859,0.0005259326,0.00002343301,0.0002357443],"category_scores_gemma":[0.00002764706,0.0002029388,0.0001832655,0.00003434678,0.0003682932,0.0002636702,0.00003698904,0.0001745589,0.00000131291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005142449,"about_ca_system_score_gemma":0.00005405038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000135565,"about_ca_topic_score_gemma":0.000003125054,"domain_scores_codex":[0.9986742,0.00003867175,0.0002181933,0.0003999144,0.0002876271,0.00038138],"domain_scores_gemma":[0.998185,0.0002592358,0.0003349615,0.0009890004,0.0000688474,0.0001629007],"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":[0.001519754,0.003331387,0.1366018,0.0003544628,0.003260866,0.00001882548,0.002777007,0.00006849791,0.1336138,0.09771585,0.04431928,0.5764185],"study_design_scores_gemma":[0.02317904,0.00214761,0.1338522,0.0006247389,0.0003990201,0.000004308351,0.0005010443,0.01281596,0.2202316,0.08029655,0.5215319,0.004416033],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4113025,0.00009815964,0.5794126,0.002666297,0.0002179331,0.001294644,0.000205052,0.0002850773,0.004517642],"genre_scores_gemma":[0.976103,0.0000131696,0.0217807,0.0001528932,0.001109966,0.0002396337,0.00002287997,0.00007495211,0.0005027839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5720025,"threshold_uncertainty_score":0.8275605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303366850938047,"score_gpt":0.3376408657463397,"score_spread":0.3246071972369592,"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."}}