{"id":"W2118584529","doi":"10.1096/fasebj.29.1_supplement.875.11","title":"3D Visualization of the Glomerulus within Kidney Tissue made Transparent through Passive Optical Clearing","year":2015,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Anatomy and Medical Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Clearance; Optical sectioning; Kidney; Glomerulus; Pathology; Confocal microscopy; Visualization; Biomedical engineering; Confocal; Microscopy; Anatomy; Chemistry; Biology; Cell biology; Computer science; Medicine; Optics; Artificial intelligence","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":[0.0003981749,0.0004133642,0.0002352603,0.0006547899,0.0002465885,0.0005589635,0.0004098592,0.0004881651,0.001528593],"category_scores_gemma":[0.000276932,0.0005051257,0.0004044691,0.0002586606,0.0004329384,0.0003727748,0.0004107336,0.0007041183,0.0003778156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003579246,"about_ca_system_score_gemma":0.0004485043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001133544,"about_ca_topic_score_gemma":0.001676728,"domain_scores_codex":[0.9998575,0.00001678561,0.00000861559,0.00003171193,0.00005808166,0.00002732335],"domain_scores_gemma":[0.9997573,0.0001012172,0.0000462199,0.0000460171,0.00003082558,0.00001834332],"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":[0.00002673453,0.000009944792,0.0002146468,0.00005866311,0.000007359129,0.0001867338,0.00004223497,0.001037282,0.9947701,0.0008313358,0.00007923739,0.002735753],"study_design_scores_gemma":[0.00003293082,0.0001004259,0.006052523,0.00002753915,0.00003846829,0.001728819,0.00004930014,0.02287691,0.9588909,0.0006073596,0.009556618,0.0000380886],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5458829,0.001578627,0.4430439,0.0003549,0.0001070872,0.0001601433,0.0007768128,0.001485043,0.006610567],"genre_scores_gemma":[0.6404599,0.001860438,0.3518119,0.0001254554,0.00004138552,0.0001638251,0.0005611989,0.0003071408,0.004668809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001528593,"threshold_uncertainty_score":0.005113661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02629698753750684,"score_gpt":0.2728901298716426,"score_spread":0.2465931423341357,"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."}}