{"id":"W3181285032","doi":"10.1146/annurev-bioeng-082120-042814","title":"Biology and Models of the Blood–Brain Barrier","year":2021,"lang":"en","type":"review","venue":"Annual Review of Biomedical Engineering","topic":"Barrier Structure and Function Studies","field":"Neuroscience","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Science Foundation; Ludwig Center at Harvard; National Cancer Institute; Azrieli Foundation; Tel Aviv University","keywords":"Blood–brain barrier; Neuroscience; Biology; Translation (biology); Brain disease; Computer science; Disease; Medicine; Pathology; Central nervous system","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":[0.0003112058,0.000273703,0.001776206,0.00008916445,0.00003677229,0.000003945146,0.0003264977,0.000197119,0.00004149418],"category_scores_gemma":[0.002781798,0.0001532564,0.000424187,0.0007006482,0.00033563,0.00004583075,0.0003671138,0.000338599,8.838545e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007737861,"about_ca_system_score_gemma":0.0001208994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002169526,"about_ca_topic_score_gemma":5.650795e-8,"domain_scores_codex":[0.9982666,0.0001575701,0.0007657489,0.0003528645,0.0002555232,0.0002016762],"domain_scores_gemma":[0.9985857,0.0006166922,0.000278896,0.0003592926,0.00005795506,0.0001014668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[3.991517e-7,0.00001887897,2.028364e-7,0.1431363,0.0001318451,0.000005785411,0.00006290186,6.087665e-7,0.000176302,0.007678171,0.001627696,0.8471609],"study_design_scores_gemma":[0.00005086199,0.00002946012,2.354757e-7,0.05439095,0.0003694803,0.00006977159,0.000004064703,0.0000127514,0.00005724454,0.0000308439,0.9448569,0.0001274171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0000016286,0.9981955,0.0003931983,0.0001623345,0.0004984217,0.0002773837,0.0003131853,0.00001523866,0.0001430678],"genre_scores_gemma":[0.00002879459,0.9992297,0.00009263735,0.0004257364,0.00009548682,0.00002825509,0.00000869732,0.00002038282,0.00007031315],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9432292,"threshold_uncertainty_score":0.6249614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02623257940119,"score_gpt":0.3129705663563001,"score_spread":0.28673798695511,"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."}}