{"id":"W3111331129","doi":"10.21037/qims-20-148","title":"The value of a shorter-delay arterial spin labeling protocol for detecting cerebrovascular impairment","year":2020,"lang":"en","type":"article","venue":"Quantitative Imaging in Medicine and Surgery","topic":"Advanced MRI Techniques and Applications","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"National Natural Science Foundation of China","keywords":"Cerebral blood flow; Region of interest; Arterial spin labeling; Medicine; Nuclear medicine; Significant difference; Cardiology; Internal medicine; Radiology","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":[0.0008360929,0.0001254227,0.0003890711,0.0000790324,0.0001081287,0.000008410005,0.00004811957,0.00002422552,0.000006064029],"category_scores_gemma":[0.0007636684,0.00008160563,0.00008525588,0.0002168071,0.0001899545,0.00005649137,0.0000241747,0.0001290116,3.230309e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002093266,"about_ca_system_score_gemma":0.00006010322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003895677,"about_ca_topic_score_gemma":0.00000301919,"domain_scores_codex":[0.9988551,0.00004868811,0.0005068348,0.0002292023,0.000158004,0.000202197],"domain_scores_gemma":[0.9987052,0.0007961642,0.0001592247,0.0001383781,0.0001225292,0.00007848346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.007763354,0.001011341,0.2404767,0.005798314,0.0003840761,0.0001639712,0.0230562,0.0004590344,0.3704857,0.0484897,0.02706254,0.2748491],"study_design_scores_gemma":[0.03032632,0.007436735,0.04658695,0.01643928,0.0008124394,0.0003354486,0.049445,0.469829,0.07839892,0.02052702,0.2777618,0.002101063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.162271,0.0005160422,0.7016811,0.03710606,0.0001088199,0.09791817,0.00001005122,0.0001659619,0.0002227443],"genre_scores_gemma":[0.632755,0.0001978374,0.1944829,0.004744724,0.0007107826,0.166953,0.00002823201,0.0001070512,0.00002046063],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5071983,"threshold_uncertainty_score":0.3327781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08032601622143895,"score_gpt":0.4114726187325327,"score_spread":0.3311466025110937,"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."}}