{"id":"W2750323563","doi":"10.1021/acs.bioconjchem.7b00374","title":"Nanofitin as a New Molecular-Imaging Agent for the Diagnosis of Epidermal Growth Factor Receptor Over-Expressing Tumors","year":2017,"lang":"en","type":"article","venue":"Bioconjugate Chemistry","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Regional Development Fund; Centre National de la Recherche Scientifique; Université de Liège; Waalse Gewest; Erasmus+; Fonds De La Recherche Scientifique - FNRS; Division of Civil, Mechanical and Manufacturing Innovation; Institut national de la recherche scientifique","keywords":"Epidermal growth factor receptor; Chemistry; A431 cells; Epidermal growth factor; In vivo; Cancer research; Monoclonal antibody; Imaging agent; Antibody; Molecular imaging; Positron emission tomography; Cetuximab; Cancer; Receptor; Pathology; Cell; Nuclear medicine; Internal medicine; Immunology; Medicine; Oncogene; Biochemistry; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002382951,0.0004616899,0.000185952,0.0003392509,0.0001243158,0.0002197588,0.0002528696,0.0005561122,0.0004436096],"category_scores_gemma":[0.0001835998,0.0001724129,0.0001428986,0.0001862675,0.0002054962,0.0003529327,0.0002086482,0.0003363833,0.000233129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003297894,"about_ca_system_score_gemma":0.0002735691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008937406,"about_ca_topic_score_gemma":0.001933927,"domain_scores_codex":[0.9999033,0.00002324289,0.000005506772,0.0000268137,0.00002760001,0.00001349758],"domain_scores_gemma":[0.9999199,0.00002005959,0.0000190201,0.000005038335,0.00001990584,0.00001605681],"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":[0.00005235176,0.00001802981,0.0001228713,0.00008160273,0.000004430877,0.00007110725,0.00001258709,0.00009857654,0.9941757,0.0002103076,0.00007447586,0.005078004],"study_design_scores_gemma":[0.00001548047,0.0003928799,0.001488407,0.00001650908,0.00003150738,0.00108938,0.00001441241,0.004535134,0.9840086,0.00007403745,0.008312087,0.00002156798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8423263,0.01713832,0.1308886,0.0004405996,0.000168852,0.0002520313,0.0003517173,0.0006397064,0.007793888],"genre_scores_gemma":[0.8741838,0.006585753,0.1113499,0.0002341421,0.00005546378,0.0001373211,0.0005382774,0.00006786989,0.006847639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008937406,"threshold_uncertainty_score":0.002392828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04037775598811903,"score_gpt":0.3360058778205958,"score_spread":0.2956281218324767,"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."}}