{"id":"W871909432","doi":"10.1118/1.4924569","title":"SU‐E‐T‐208: Comparison of MR Image Quality of Various Brachytherapy Applicators for Cervical Cancer","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"MRI in cancer diagnosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"","keywords":"Imaging phantom; Dosimetry; Brachytherapy; Artifact (error); Electromagnetic coil; Nuclear medicine; Image quality; Sagittal plane; Materials science; Scanner; Biomedical engineering; Optics; Physics; Radiation therapy; Medicine; Radiology; Computer science","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":[0.0008593807,0.0002789592,0.0002151908,0.000518475,0.0001014043,0.0003015047,0.0002777305,0.0006392228,0.001268471],"category_scores_gemma":[0.00226797,0.0002308302,0.0002166729,0.000228654,0.0002607889,0.0003447325,0.0002328781,0.0002146774,0.0002616355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001875669,"about_ca_system_score_gemma":0.0001988924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006230221,"about_ca_topic_score_gemma":0.0006762746,"domain_scores_codex":[0.9997475,0.00007677706,0.0000248928,0.00004938952,0.00008104179,0.00002043451],"domain_scores_gemma":[0.9994463,0.0001822601,0.0001418952,0.00006211416,0.0001213347,0.00004606781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.003469398,0.00008894224,0.02006185,0.000339803,0.0001447099,0.0002640673,0.0001083509,0.001614059,0.9323648,0.00005229139,0.000226218,0.04126549],"study_design_scores_gemma":[0.0002604659,0.01038518,0.3335535,0.00004927093,0.0008170501,0.01035184,0.0002115049,0.01607429,0.6254066,0.000107942,0.002701269,0.00008114986],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872321,0.00133363,0.01007731,0.0000527936,0.00001380437,0.00003742602,0.00009301928,0.0002111581,0.0009487604],"genre_scores_gemma":[0.9910684,0.0003278108,0.00792825,0.00002357199,0.000007858855,0.00002447834,0.0001486903,0.00006146175,0.000409373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001268471,"threshold_uncertainty_score":0.004544914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09779972193915676,"score_gpt":0.4459711575703753,"score_spread":0.3481714356312185,"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."}}