{"id":"W1989245102","doi":"10.1118/1.2241502","title":"TU‐C‐330A‐09: Performance of CT and MR‐Based Assays for In Vivo Agent Concentration Quantitation","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Gadolinium; In vivo; Iodine; Spleen; Nuclear medicine; Chemistry; High-performance liquid chromatography; Medicine; Chromatography; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001454617,0.0006424639,0.0003989671,0.0006337306,0.0001731565,0.0005745115,0.0005691734,0.0008375858,0.001459591],"category_scores_gemma":[0.001531225,0.000350421,0.0002117008,0.0003690062,0.0003629567,0.0003336314,0.0002412942,0.0007603281,0.0007710676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004429511,"about_ca_system_score_gemma":0.0004614084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881072,"about_ca_topic_score_gemma":0.001482223,"domain_scores_codex":[0.9992651,0.0002663223,0.00004316771,0.0001509458,0.000205299,0.00006926659],"domain_scores_gemma":[0.999135,0.0002612993,0.0002128581,0.0001052711,0.0002016691,0.00008402204],"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":[0.0002975513,0.00005875411,0.0006575565,0.00003308441,0.000007824779,0.00001616251,0.000008714283,0.0001471919,0.9953929,0.00003573881,0.00006812041,0.003276399],"study_design_scores_gemma":[0.00001949526,0.0011335,0.005721633,0.000008874147,0.00003081489,0.000323804,0.000007376246,0.005614427,0.9860561,0.00001557796,0.001054398,0.000014028],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9246765,0.005848955,0.06306112,0.0001795047,0.00005671332,0.0002247518,0.0005963578,0.0011454,0.004210625],"genre_scores_gemma":[0.9212602,0.001695289,0.07024288,0.0001152789,0.00002829429,0.0002481313,0.001346137,0.0001325298,0.004931281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001881072,"threshold_uncertainty_score":0.007692873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02784942591785211,"score_gpt":0.3253276773694852,"score_spread":0.2974782514516331,"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."}}