{"id":"W3090790909","doi":"10.1002/mrm.28535","title":"Contribution of perfusion to the <sup>11</sup>C‐acetate signal in brown adipose tissue assessed by DCE‐MRI and <sup>68</sup>Ga‐DOTA PET in a rat model","year":2020,"lang":"en","type":"article","venue":"Magnetic Resonance in Medicine","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Perfusion; Nuclear medicine; Positron emission tomography; Magnetic resonance imaging; DOTA; Brown adipose tissue; Chemistry; Perfusion scanning; Pharmacokinetics; Adipose tissue; Medicine; Internal medicine; Chelation; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003671808,0.0007288779,0.0004408432,0.0002797022,0.000215584,0.000447878,0.0003069668,0.0004826371,0.0008278401],"category_scores_gemma":[0.0002367348,0.0004115692,0.0003282552,0.0001509181,0.0006990699,0.0005967126,0.0002032288,0.0008011215,0.000362528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000507065,"about_ca_system_score_gemma":0.0005614825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056098,"about_ca_topic_score_gemma":0.00245828,"domain_scores_codex":[0.999786,0.00002788766,0.00000908108,0.00006178357,0.00005264186,0.00006265444],"domain_scores_gemma":[0.9996347,0.00004271249,0.000134803,0.00004329435,0.00006305806,0.00008139979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001382358,0.00006562738,0.0005891078,0.00004068419,0.00001197672,0.00006680118,0.00002208542,0.0001766914,0.9952656,0.00006985325,0.00003403431,0.002275249],"study_design_scores_gemma":[0.00003267916,0.001763656,0.007624646,0.000007543891,0.00007730736,0.0002382041,0.00006279748,0.00215862,0.9871973,0.00007028002,0.0007490804,0.00001785568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912412,0.001512175,0.005890988,0.0001250168,0.00003215873,0.0000464154,0.0002015051,0.0000812042,0.0008693928],"genre_scores_gemma":[0.9858922,0.002086949,0.007534877,0.0001044598,0.00002645644,0.0001860234,0.000325933,0.00005700608,0.003785977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002056098,"threshold_uncertainty_score":0.004088283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01511295066714964,"score_gpt":0.2709402329628369,"score_spread":0.2558272822956873,"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."}}