{"id":"W4244244128","doi":"10.2214/ajr.12.9543","title":"Perfusion MRI: The Five Most Frequently Asked Technical Questions","year":2012,"lang":"en","type":"article","venue":"American Journal of Roentgenology","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":356,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"Takeda Oncology; National Institutes of Health; Bayer HealthCare; Brain Tumour Foundation of Canada; Georgia Clinical and Translational Science Alliance; Biogen; Southern California Clinical and Translational Science Institute; Teva Pharmaceutical Industries; National Center for Research Resources; Sanofi; Amgen","keywords":"Medicine; Perfusion; Nuclear medicine; Medical physics; Radiology","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":[0.0002410771,0.0001066448,0.000309009,0.0001059169,0.0001215234,0.000004376295,0.0001888296,0.00005093887,0.00008611529],"category_scores_gemma":[0.0001182749,0.0000665239,0.0001172465,0.0003232537,0.0005243351,0.00007742703,0.00005605373,0.0004648974,0.00001922975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001066894,"about_ca_system_score_gemma":0.00008635608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003508226,"about_ca_topic_score_gemma":0.000004416328,"domain_scores_codex":[0.9990118,0.00007212696,0.0003699332,0.000094537,0.0001624546,0.0002891559],"domain_scores_gemma":[0.9988108,0.0001020379,0.0004130806,0.0002931468,0.000201344,0.0001795615],"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":[0.001046295,0.003178402,0.08268841,0.00002281733,0.0002851363,0.0001511382,0.002386578,0.0005222883,0.2627986,0.06251655,0.05411313,0.5302906],"study_design_scores_gemma":[0.002771538,0.011303,0.1844553,0.0002820532,0.001222404,0.03001201,0.007686242,0.0002322237,0.01406306,0.006334343,0.7409793,0.0006585696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6974337,0.001981587,0.2427865,0.05366474,0.0003057131,0.0006284727,0.00001378121,0.0001304,0.003055116],"genre_scores_gemma":[0.9463155,0.0009632692,0.05068532,0.001517687,0.000309962,0.00001910507,0.000003722341,0.00001705058,0.0001683669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6868662,"threshold_uncertainty_score":0.2712766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061544087473668,"score_gpt":0.3156122811787018,"score_spread":0.3049968403039651,"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."}}