{"id":"W2120935310","doi":"10.1002/cmmi.1502","title":"A dual magnetic resonance imaging/fluorescent contrast agent for Cathepsin‐D detection","year":2012,"lang":"en","type":"article","venue":"Contrast Media & Molecular Imaging","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"MRI contrast agent; Chemistry; Magnetic resonance imaging; Imaging agent; Confocal; DOTA; In vitro; Cathepsin; Cathepsin D; Molecular biology; Pathology; Gadolinium; In vivo; Medicine; Biochemistry; Biology; Chelation; Enzyme","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":[0.0004370816,0.0006088199,0.0003704359,0.0003932574,0.000231997,0.0004183039,0.0004315282,0.001218211,0.001612172],"category_scores_gemma":[0.0002943703,0.000338342,0.000311846,0.0002359888,0.0002667638,0.0004343596,0.0004296489,0.0008394903,0.0008013429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004089735,"about_ca_system_score_gemma":0.0002610277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004454995,"about_ca_topic_score_gemma":0.0005704832,"domain_scores_codex":[0.9997136,0.00006339869,0.00001421996,0.00009876895,0.00006375447,0.00004631331],"domain_scores_gemma":[0.999833,0.00004462834,0.00003167413,0.00001485383,0.00003960542,0.00003624693],"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":[0.00007199234,0.00001900638,0.00004858867,0.00007280694,0.000004605996,0.00006087821,0.000009147049,0.00002411379,0.9969978,0.0001557123,0.0001014175,0.002433834],"study_design_scores_gemma":[0.00003948706,0.0003201215,0.0006173652,0.00001551908,0.00003257293,0.001298797,0.0000106492,0.001298609,0.9883745,0.00005526909,0.007921387,0.00001588064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7883757,0.02299125,0.1730859,0.001262791,0.0003709774,0.000456425,0.000477727,0.0007137985,0.01226552],"genre_scores_gemma":[0.7779278,0.005907332,0.1992192,0.0007711969,0.0001067437,0.0006191386,0.000600183,0.00009184183,0.0147566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001612172,"threshold_uncertainty_score":0.005393326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01381308497891782,"score_gpt":0.2817546496083421,"score_spread":0.2679415646294243,"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."}}