{"id":"W4398486224","doi":"10.7910/dvn/1rvmj0","title":"Blood-Brain Barrier Database (B3DB)","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Database; Computer science","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":[0.001205923,0.002014826,0.001810189,0.002695265,0.0008591122,0.002394936,0.003221562,0.002754232,0.04724028],"category_scores_gemma":[0.006949403,0.0005331161,0.001709079,0.004773915,0.0004486465,0.001202886,0.002298147,0.002248586,0.05899007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001508963,"about_ca_system_score_gemma":0.002964603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038112,"about_ca_topic_score_gemma":0.02601562,"domain_scores_codex":[0.9989246,0.0002152889,0.0002000156,0.0002968498,0.000212433,0.0001508085],"domain_scores_gemma":[0.9981111,0.0005362349,0.0002682208,0.0003618274,0.000457636,0.0002650307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001818163,0.00003371693,0.001046439,0.00143622,0.00009211785,0.00004232811,0.00002395402,0.0003078312,0.000196263,0.0006715289,0.9935566,0.002411232],"study_design_scores_gemma":[0.0007236815,0.00005643707,0.007211937,0.0006814242,0.0001835588,0.000256892,0.00009806642,0.0009111983,0.0006952025,0.003533622,0.9855886,0.00005925439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001950396,0.0001963609,0.00007904162,0.0001310569,0.0000202327,0.00001413449,0.9986351,0.0002619206,0.0004670678],"genre_scores_gemma":[0.0007604724,0.0001599793,0.0002579251,0.0001191835,0.000009672849,0.00009374537,0.9982172,0.00006296,0.000318943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04724028,"threshold_uncertainty_score":0.1580345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02611693703437513,"score_gpt":0.2735576484539744,"score_spread":0.2474407114195993,"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."}}