{"id":"W4212887816","doi":"10.1096/fj.202101644r","title":"Targeting insulin‐like growth factor‐1 receptor (IGF1R) for brain delivery of biologics","year":2022,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Monoclonal and Polyclonal Antibodies Research","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"AstraZeneca","keywords":"Insulin-like growth factor 1 receptor; In vivo; Blood–brain barrier; Chemistry; Receptor; Pharmacology; Perfusion; Medicine; Growth factor; Internal medicine; Endocrinology; Biophysics; Biology; Central nervous system","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":[0.0002018852,0.0003893291,0.0002372491,0.0002595037,0.0001001225,0.0002487679,0.0001622544,0.0002951245,0.0006335645],"category_scores_gemma":[0.0001294293,0.00008553617,0.0002190399,0.0001126941,0.000136041,0.0002094209,0.000134673,0.0005007304,0.0002535066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003444538,"about_ca_system_score_gemma":0.0002222203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009362855,"about_ca_topic_score_gemma":0.0009870928,"domain_scores_codex":[0.9999156,0.00001329557,0.000004281478,0.00001994558,0.00002426161,0.00002249107],"domain_scores_gemma":[0.9999498,0.00001337108,0.00001627312,0.000003280538,0.0000102932,0.000007000022],"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":[0.0000374833,0.00001266336,0.00007163538,0.00004854443,0.000003539959,0.00002813271,0.000006743419,0.00005191648,0.995261,0.00005755998,0.00006152083,0.00435922],"study_design_scores_gemma":[0.000008701399,0.0004265008,0.001870533,0.000009158347,0.00002194881,0.0003589393,0.00001118733,0.001434162,0.9925838,0.00003545107,0.00323305,0.000006695746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328883,0.01722927,0.04572681,0.0003334953,0.000132881,0.0001165918,0.0002798978,0.0003502245,0.002942617],"genre_scores_gemma":[0.9652932,0.006964956,0.02474925,0.0001139202,0.00003440089,0.00007992065,0.0002118457,0.00002013307,0.002532455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009362855,"threshold_uncertainty_score":0.002499223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04338605107618886,"score_gpt":0.3024274939587341,"score_spread":0.2590414428825453,"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."}}