{"id":"W4304203318","doi":"10.1002/jmri.28440","title":"Chemical Exchange Saturation Transfer <scp>MRI</scp> for Differentiating Radiation Necrosis From Tumor Progression in Brain Metastasis—Application in a Clinical Setting","year":2022,"lang":"en","type":"article","venue":"Journal of Magnetic Resonance Imaging","topic":"Lanthanide and Transition Metal Complexes","field":"Materials Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Canadian Cancer Society Research Institute; Terry Fox Research Institute; Fondation Brain Canada","keywords":"Magnetization transfer; Nuclear medicine; Receiver operating characteristic; Medicine; Magnetic resonance imaging; Akaike information criterion; Nuclear magnetic resonance; Radiology; Mathematics; Internal medicine; Physics","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":[0.00242741,0.0001398344,0.0003576424,0.000180338,0.0001210604,0.0001016663,0.0002329252,0.00002972923,0.00007201901],"category_scores_gemma":[0.0004042508,0.0001282533,0.0001637903,0.0002689821,0.0000398866,0.0003967072,0.0000455155,0.0003376884,0.000001498687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001060914,"about_ca_system_score_gemma":0.00006517795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005655593,"about_ca_topic_score_gemma":0.00002384583,"domain_scores_codex":[0.9973908,0.0004692647,0.001115173,0.0003010238,0.0004495988,0.0002741131],"domain_scores_gemma":[0.9984855,0.0008720641,0.0003783171,0.0001250875,0.00007909304,0.00005994444],"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":[0.0001629505,0.0002025335,0.0287371,0.00004670843,0.00000330562,0.00001839264,0.001443883,0.000106125,0.7669368,0.00003590134,0.0002542719,0.202052],"study_design_scores_gemma":[0.01076182,0.0006327112,0.6856872,0.0006218965,0.0001620299,0.0001114767,0.001791983,0.06608701,0.2183628,0.005429001,0.009975002,0.0003771137],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812806,0.004971826,0.01198036,0.0009841329,0.0002409695,0.0004507324,0.00006581039,0.0000139941,0.00001153582],"genre_scores_gemma":[0.9893368,0.00005294016,0.009890965,0.0003301063,0.0002046803,0.0001231098,0.00003630915,0.0000189798,0.000006053039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6569501,"threshold_uncertainty_score":0.5230018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603827494154814,"score_gpt":0.2942046317562334,"score_spread":0.2781663568146853,"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."}}