{"id":"W2056843369","doi":"10.1038/jcbfm.2014.52","title":"The Proteome of Mouse Cerebral Arteries","year":2014,"lang":"en","type":"article","venue":"Journal of Cerebral Blood Flow & Metabolism","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; McGill University; Montreal Neurological Institute and Hospital","funders":"Canadian Institutes of Health Research","keywords":"Cerebral arteries; Proteome; Medicine; Cardiology; Neuroscience; Anatomy; Internal medicine; Biology; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004442288,0.0002114169,0.0004771736,0.00006186743,0.0001981206,0.00006545999,0.0006540618,0.0001235602,0.0001413911],"category_scores_gemma":[0.0002136614,0.0001401668,0.0003065198,0.0001364839,0.0001860554,0.0002532407,0.00009464262,0.0004951584,0.000005402846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001331992,"about_ca_system_score_gemma":0.00006556694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006679907,"about_ca_topic_score_gemma":0.000003234633,"domain_scores_codex":[0.9982604,0.00004514865,0.0008528729,0.0001618583,0.0003773673,0.0003023241],"domain_scores_gemma":[0.9977002,0.0001044065,0.00123755,0.0005157884,0.0003063401,0.0001357592],"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":[0.0001928919,0.0003290027,0.000952874,0.0001144316,0.0002850051,0.000003138118,0.0003030114,0.0001239621,0.9398395,0.03474724,0.001014184,0.0220948],"study_design_scores_gemma":[0.0009933383,0.00006540523,0.0002302468,0.00004307842,0.0001595674,0.00008952487,0.0000666078,0.0002016055,0.9101644,0.02110619,0.06670076,0.0001792324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822114,0.0008221195,0.01321768,0.001046189,0.0001463237,0.0002000708,0.00004308944,0.00005356775,0.002259616],"genre_scores_gemma":[0.8748513,0.000310693,0.1216377,0.0001119664,0.001171188,0.00005770438,0.000005034388,0.0000586276,0.001795802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.10842,"threshold_uncertainty_score":0.5715835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006546352709673174,"score_gpt":0.2309177131041471,"score_spread":0.2243713603944739,"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."}}