{"id":"W2026952449","doi":"10.1002/anie.200906712","title":"A Secreted Enzyme Reporter System for MRI","year":2010,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Biotechnology Research Institute","funders":"National Institutes of Health","keywords":"Enzyme; Contrast (vision); Alkaline phosphatase; Reporter gene; Computer science; Extracellular; Magnetic resonance imaging; Gene; Biochemistry; Chemistry; Computational biology; Gene expression; Biology; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004430223,0.0006594377,0.0005412238,0.0002821051,0.0002138217,0.0006172827,0.0006444652,0.0007794503,0.002899],"category_scores_gemma":[0.0003098909,0.0003324806,0.0004895663,0.0003131471,0.0002751786,0.0004845352,0.0004069672,0.00195517,0.003528578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004228113,"about_ca_system_score_gemma":0.0003639075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003019088,"about_ca_topic_score_gemma":0.0003224052,"domain_scores_codex":[0.9996678,0.00005121261,0.00002957701,0.00008311249,0.0001310324,0.00003726575],"domain_scores_gemma":[0.9998164,0.00002961624,0.0000296977,0.00003490991,0.00004432935,0.0000450959],"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":[0.00003390014,0.00001562888,0.00002099384,0.0000648124,0.00000411945,0.0000416788,0.00001688652,0.00003888105,0.9951035,0.0008139984,0.0005738421,0.003271681],"study_design_scores_gemma":[0.00001565273,0.00009803903,0.0001151564,0.000007251686,0.000009694929,0.0003085472,0.000007074485,0.0008296362,0.9783096,0.0001263045,0.02016328,0.000009747922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1743448,0.005584663,0.7892781,0.002396675,0.001669883,0.0005617103,0.004698033,0.008676177,0.01278988],"genre_scores_gemma":[0.4786986,0.006152697,0.4430384,0.0008863708,0.0002568073,0.000886332,0.01241607,0.001267873,0.05639699],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002899,"threshold_uncertainty_score":0.009698093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008394504692834308,"score_gpt":0.2711591467330945,"score_spread":0.2627646420402602,"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."}}