{"id":"W4291942089","doi":"10.1002/pmic.202200127","title":"The Brain Protein Atlas: A conglomerate of proteomics datasets of human neural tissue","year":2022,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Princess Margaret Cancer Foundation; Canadian Institutes of Health Research; Cancer Research Society","keywords":"Proteomics; Computer science; Workflow; Atlas (anatomy); Computational biology; Brain atlas; Human Protein Atlas; Artificial intelligence; Biology; Data science; Database; Protein expression","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002543181,0.002451999,0.001926068,0.01171506,0.00102023,0.002654656,0.002527166,0.001369806,0.0148459],"category_scores_gemma":[0.005252729,0.0007822661,0.001310326,0.01628571,0.0004959211,0.00282386,0.005900697,0.002052801,0.01919318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287752,"about_ca_system_score_gemma":0.003355279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005367131,"about_ca_topic_score_gemma":0.009373482,"domain_scores_codex":[0.9982865,0.0002481309,0.0002791852,0.000479301,0.0005615921,0.0001451897],"domain_scores_gemma":[0.9966198,0.0006337042,0.0007041,0.0008038375,0.0006340878,0.0006045536],"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":[0.0007464963,0.00009297312,0.004295173,0.004473902,0.0005097984,0.00060316,0.0002890807,0.0009280179,0.0144442,0.003994139,0.9111976,0.05842552],"study_design_scores_gemma":[0.000175757,0.00007336801,0.02715015,0.0006902035,0.0002520459,0.0009689821,0.0001921096,0.002013032,0.006876307,0.01111749,0.950345,0.0001455152],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.003083943,0.002763228,0.01100775,0.0005653995,0.0001446846,0.0001480353,0.9574192,0.02087498,0.003992791],"genre_scores_gemma":[0.005340003,0.001961365,0.0221001,0.000320283,0.00006759766,0.0003948385,0.9673016,0.00140223,0.001111938],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0148459,"threshold_uncertainty_score":0.0496645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04409713966382042,"score_gpt":0.3608176127281054,"score_spread":0.316720473064285,"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."}}