{"id":"W1969911370","doi":"10.1016/j.jconrel.2012.04.043","title":"Molecular targeting of CEACAM6 using antibody probes of different sizes","year":2012,"lang":"en","type":"article","venue":"Journal of Controlled Release","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Biological Sciences","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; National Science Foundation","keywords":"Antibody; Chemistry; Monoclonal antibody; DOTA; Molecular biology; Single-domain antibody; In vivo; Ex vivo; Immunostaining; Immunoglobulin light chain; Antigen; Cancer research; Immunohistochemistry; Biochemistry; Immunology; In vitro; Biology; Chelation","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":[0.0006201781,0.0005595989,0.0003727597,0.0002851216,0.0002060496,0.0005052032,0.0004438038,0.000987138,0.001271185],"category_scores_gemma":[0.0008254109,0.0003055918,0.0004430469,0.0002209177,0.000330132,0.0007620241,0.0002919852,0.0007525567,0.0004262568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005425363,"about_ca_system_score_gemma":0.0001875993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002794272,"about_ca_topic_score_gemma":0.0003373988,"domain_scores_codex":[0.9997306,0.00005613758,0.0000216895,0.00007142843,0.00004875936,0.00007138785],"domain_scores_gemma":[0.9995455,0.000189289,0.0001076852,0.00003217634,0.00006317516,0.00006208437],"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":[0.0001524446,0.0000200358,0.00003471701,0.00006675053,0.000007419612,0.00003201211,0.00002858139,0.00009544444,0.9968601,0.0002560113,0.00004866014,0.00239777],"study_design_scores_gemma":[0.00002773768,0.0002621671,0.0002865497,0.000004613139,0.00001965831,0.00009612083,0.000008214107,0.000742839,0.9972307,0.00004015427,0.001273073,0.000008348299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713588,0.003389549,0.02202821,0.0002949898,0.0001103639,0.00007991542,0.0001257921,0.000168985,0.002443407],"genre_scores_gemma":[0.9692396,0.002229168,0.02426311,0.000301805,0.00004829999,0.000132793,0.0002069427,0.00007751127,0.003500791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001271185,"threshold_uncertainty_score":0.004252553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880954320545799,"score_gpt":0.3345991861897858,"score_spread":0.3157896429843279,"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."}}