{"id":"W4235703820","doi":"10.1002/mrm.25607","title":"Recommended implementation of arterial spin‐labeled perfusion MRI for clinical applications: A consensus of the ISMRM perfusion study group and the European consortium for ASL in dementia","year":2014,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Sunnybrook Health Science Centre","funders":"","keywords":"Arterial spin labeling; Medicine; Cerebral blood flow; Perfusion; Protocol (science); Statement (logic); Implementation; Cerebral perfusion pressure; Medical physics; Computer science; Radiology; Pathology; Cardiology; Software engineering","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":[0.003085037,0.0001220061,0.0004571104,0.00006696928,0.00007461033,0.000003030568,0.0001474923,0.00004362879,0.0000238169],"category_scores_gemma":[0.000323192,0.00007194635,0.00005640446,0.0002071243,0.000395439,0.00001239763,0.00007160775,0.0001296582,1.628166e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001729108,"about_ca_system_score_gemma":0.00002718213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291691,"about_ca_topic_score_gemma":0.0002975804,"domain_scores_codex":[0.9979895,0.0003257391,0.001066847,0.000292654,0.0001704214,0.0001548176],"domain_scores_gemma":[0.9983057,0.0007641849,0.0003606548,0.0004209536,0.0001138721,0.00003457146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002378309,0.000914007,0.09846347,0.0001857363,0.00001046825,6.289782e-7,0.001557928,0.000002706802,0.01532882,0.005240792,0.002165033,0.8737521],"study_design_scores_gemma":[0.057243,0.005317173,0.8689985,0.0005502147,0.0003711096,0.00001033189,0.005349915,0.003803649,0.0007866384,0.005588512,0.05180452,0.0001764092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.958735,0.001674491,0.01842975,0.00911906,0.00009008097,0.01166719,0.00001981494,0.00001666286,0.0002479735],"genre_scores_gemma":[0.9858562,0.0009228938,0.01116839,0.0003652985,0.0001511352,0.001469689,0.00001851432,0.00001761517,0.0000302122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8735757,"threshold_uncertainty_score":0.2933887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03642016702602902,"score_gpt":0.3993771494449158,"score_spread":0.3629569824188868,"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."}}