{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000307721,0.0003755832,0.0004309912,0.0001923808,0.0001949565,0.00007576312,0.0001161109,0.00005557048,0.00008844137],"category_scores_gemma":[0.0004177871,0.0003457431,0.0002794887,0.0001965767,0.000230346,0.0002220458,0.00006082649,0.0002492608,0.00009997349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002638132,"about_ca_system_score_gemma":0.0002102489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006408901,"about_ca_topic_score_gemma":0.000008609613,"domain_scores_codex":[0.9970878,0.0001017261,0.0003776781,0.0004954867,0.0006415022,0.001295852],"domain_scores_gemma":[0.9981365,0.0001555176,0.00009496554,0.000453284,0.0002824257,0.0008772988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00191768,0.002093814,0.1409721,0.0002360596,0.001434897,0.00213815,0.00123504,0.000001105911,0.1514643,0.0002951601,0.002649843,0.6955618],"study_design_scores_gemma":[0.04238421,0.0007557843,0.493508,0.001098166,0.005631736,0.002055795,0.001306208,0.01060602,0.3960036,0.00055904,0.04410946,0.001981976],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4958836,0.468536,0.0237833,0.003618034,0.001580987,0.005073369,0.0002579842,0.0004145732,0.0008521851],"genre_scores_gemma":[0.9965665,0.0001851334,0.0009584156,0.001079383,0.0005317348,0.000434317,0.0001294541,0.000098617,0.00001644478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6935799,"threshold_uncertainty_score":0.9998994,"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."}}