{"id":"W4390199779","doi":"10.1002/alz.078974","title":"Proteomics signatures of cerebrovascular pathology in TGFß1 overexpressing mice","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Neurological Institute and Hospital; Institut Universitaire de Gériatrie de Montréal; National Research Council Canada","funders":"","keywords":"Proteome; Proteomics; Vascular dementia; Pathology; Transforming growth factor; Laser capture microdissection; Biology; Genetically modified mouse; Molecular biology; Chemistry; Dementia; Cell biology; Medicine; Biochemistry; Transgene; Gene expression; Gene","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":[0.0002058533,0.0005394935,0.0003822423,0.001125856,0.0002579771,0.0004502102,0.0002511073,0.0004338446,0.001647389],"category_scores_gemma":[0.0001681407,0.0002964999,0.0003433048,0.0003081908,0.0002800689,0.0002510673,0.0002364629,0.0008729941,0.0005087255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002338619,"about_ca_system_score_gemma":0.0001320672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004303099,"about_ca_topic_score_gemma":0.0005903175,"domain_scores_codex":[0.99985,0.00001043769,0.00001368346,0.00006100394,0.00003850943,0.00002631435],"domain_scores_gemma":[0.9996386,0.0000258012,0.0001532236,0.00002306835,0.00005552646,0.0001038312],"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":[0.0002710077,0.00002933998,0.0007419487,0.00003498306,0.00002036852,0.0001543259,0.00002439986,0.00001171569,0.9978131,0.00003790772,0.00006094822,0.0008000603],"study_design_scores_gemma":[0.00008299459,0.001008614,0.1530057,0.00005204105,0.000278191,0.004377665,0.0002496806,0.001620439,0.8348861,0.0004691298,0.003929449,0.00003994874],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915777,0.001701061,0.003456105,0.0001277477,0.00006966879,0.00002742023,0.001806356,0.0002043337,0.001029588],"genre_scores_gemma":[0.9795054,0.003267221,0.007609877,0.0002381493,0.0000619249,0.0001460995,0.003341068,0.0001585346,0.005671764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001647389,"threshold_uncertainty_score":0.005511045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01826637647897723,"score_gpt":0.2784563512070322,"score_spread":0.260189974728055,"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."}}