{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001505792,0.0002210906,0.0003355974,0.00002129003,0.0003659165,0.00009942589,0.0004316875,0.00007958529,0.0008339092],"category_scores_gemma":[0.001067948,0.0001532693,0.0002930768,0.00003775298,0.0003065222,0.00007953257,0.0002244337,0.0001877348,0.00001890857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004652018,"about_ca_system_score_gemma":0.00029166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008387637,"about_ca_topic_score_gemma":0.000001231905,"domain_scores_codex":[0.9985475,0.0000161131,0.0003232747,0.0003365442,0.000363399,0.0004131839],"domain_scores_gemma":[0.9985169,0.0002459018,0.0002545925,0.000546699,0.0001401127,0.0002958458],"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":[0.0003615968,0.00007353652,0.03593456,0.0007193008,0.0001253892,0.00005524404,0.0001002831,3.775738e-7,0.9410261,0.00007613489,0.01277233,0.008755134],"study_design_scores_gemma":[0.001046312,0.00004389069,0.008491666,0.0004647271,0.00005237897,0.00003406295,0.00006895234,0.00009484714,0.9557587,0.0001333597,0.0336419,0.0001691943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980115,0.001706559,0.00007913896,0.01418968,0.0001095482,0.0005086833,0.0001481763,0.00002589782,0.003117303],"genre_scores_gemma":[0.9932798,0.0003448499,0.0006195606,0.0007865682,0.0005176186,0.0001037228,0.00004641934,0.00003674406,0.004264701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02744289,"threshold_uncertainty_score":0.913072,"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."}}