{"id":"W2913333940","doi":"10.1038/s41598-018-36905-z","title":"3D vessel-wall virtual histology of whole-body perfused mice using a novel heavy element stain","year":2019,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Robarts Clinical Trials; Western University","funders":"Robarts Research Institute; Canadian Institutes of Health Research; Government of Canada; Heart and Stroke Foundation of Canada","keywords":"Stain; Perfusion; Histology; H&E stain; Staining; X-ray microtomography; Biomedical engineering; Pathology; Saline; High resolution; Medicine; Radiology","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":[0.0004749045,0.000627052,0.0002751707,0.001004953,0.0002461056,0.0004563951,0.0004552859,0.0006479078,0.002039081],"category_scores_gemma":[0.0001591061,0.0005196433,0.0004538411,0.0002327064,0.0004550122,0.0004406395,0.0004125971,0.0008555496,0.0004739833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002214415,"about_ca_system_score_gemma":0.0002396738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005424225,"about_ca_topic_score_gemma":0.0009736815,"domain_scores_codex":[0.9998391,0.00002202813,0.00001097243,0.00004953835,0.00005130141,0.00002707231],"domain_scores_gemma":[0.9997523,0.00004922076,0.00007840659,0.00004442445,0.00003048918,0.00004502928],"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":[0.00006665773,0.00001996811,0.0001322637,0.00002655655,0.000005973397,0.0000586606,0.00001901344,0.0003618339,0.9978296,0.0002671364,0.00003000353,0.001182357],"study_design_scores_gemma":[0.00003831213,0.0004956605,0.003626272,0.00002354232,0.00005555203,0.0008364187,0.00003702526,0.007622465,0.982938,0.0002652879,0.004038193,0.00002335771],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8019713,0.001064975,0.190147,0.0002202317,0.0001334625,0.0001374921,0.0009732104,0.001513649,0.003838758],"genre_scores_gemma":[0.7509235,0.001930227,0.2305995,0.0001654137,0.00004708407,0.0004108539,0.00127294,0.0008581021,0.01379246],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002039081,"threshold_uncertainty_score":0.006821394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069731644647254,"score_gpt":0.2647001121618126,"score_spread":0.25400279571534,"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."}}