{"id":"W2015137678","doi":"10.1039/c4nr00595c","title":"Diagnostic nanoparticle targeting of the EGF-receptor in complex biological conditions using single-domain antibodies","year":2014,"lang":"en","type":"article","venue":"Nanoscale","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Irish Research Council; Science Foundation Ireland; Irish Research Council for Science, Engineering and Technology","keywords":"Single-domain antibody; Epidermal growth factor receptor; Receptor; In vivo; Antibody; Computational biology; Epidermal growth factor; Biology; In vitro; Cell biology; Chemistry; Molecular biology; Biochemistry; Immunology; Genetics","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":[0.0004719216,0.0003116903,0.0002414376,0.0001620311,0.0001183922,0.0002633822,0.0002272937,0.0004408934,0.0003356909],"category_scores_gemma":[0.0003182561,0.0001493323,0.0001539773,0.00009382647,0.0002132939,0.0002749279,0.0002472491,0.0002103509,0.0001878151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000264051,"about_ca_system_score_gemma":0.0001296816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004843384,"about_ca_topic_score_gemma":0.0007357141,"domain_scores_codex":[0.9997544,0.00008446309,0.0000187462,0.00005606722,0.00005611954,0.00003019789],"domain_scores_gemma":[0.9998655,0.00006809183,0.00002479461,0.000009612562,0.00002121967,0.00001071447],"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":[0.00002432834,0.000007775893,0.00008247323,0.0000318239,0.000002662766,0.00002877261,0.00001200859,0.00009330596,0.9991959,0.00003302529,0.000008873781,0.0004791524],"study_design_scores_gemma":[0.00000442608,0.00009241804,0.0004187185,0.00000207409,0.000006268744,0.0001260631,0.000008328942,0.0011847,0.9977359,0.00002378751,0.0003945009,0.000002868757],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759741,0.001239112,0.02194618,0.00005802485,0.00001310121,0.0000331959,0.00004565572,0.00005018472,0.0006403389],"genre_scores_gemma":[0.9786927,0.0009207728,0.01901423,0.00006049911,0.000007894226,0.00003865416,0.0001082283,0.00001433926,0.001142613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004843384,"threshold_uncertainty_score":0.002495766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06238249518973241,"score_gpt":0.3241542289145076,"score_spread":0.2617717337247751,"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."}}