{"id":"W2783345784","doi":"10.1117/1.jbo.23.1.016008","title":"Comparing three-dimensional serial optical coherence tomography histology to MRI imaging in the entire mouse brain","year":2018,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Coherence Tomography Applications","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Vibratome; Optical coherence tomography; Magnetic resonance imaging; Preclinical imaging; In vivo; Histology; Biomedical engineering; White matter; Voxel; Neuroimaging; Ex vivo; Pathology; Medicine; Biology; Radiology; Neuroscience; Immunohistochemistry","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":[0.0004896207,0.0004658052,0.0001739938,0.001131011,0.0002609404,0.0004822256,0.0002661239,0.0004071941,0.0009544884],"category_scores_gemma":[0.0005925176,0.0004410832,0.0002275952,0.0003134631,0.0003703964,0.0003915467,0.0003488014,0.0003376973,0.0002319912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003705475,"about_ca_system_score_gemma":0.0003491773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002486252,"about_ca_topic_score_gemma":0.004240762,"domain_scores_codex":[0.9998535,0.00001706609,0.00001521907,0.00003991893,0.00004446963,0.00002974066],"domain_scores_gemma":[0.9993729,0.0001287449,0.0001478108,0.0001081288,0.0001799811,0.00006239289],"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":[0.00007121544,0.00001865835,0.0005870294,0.00002567749,0.00001019825,0.00005279231,0.00003016429,0.0005591915,0.9968816,0.00009117214,0.0000264799,0.001645921],"study_design_scores_gemma":[0.00002235157,0.0004958126,0.04608559,0.00002344242,0.00006026477,0.000997219,0.0001283263,0.01007771,0.9406894,0.0002337775,0.001164124,0.00002213185],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604553,0.000363696,0.03671253,0.00005492429,0.00002428902,0.0000491206,0.000744343,0.0003705529,0.001225193],"genre_scores_gemma":[0.9347312,0.0008106572,0.06011245,0.00009426355,0.0000165163,0.0001330296,0.00122121,0.00031823,0.002562436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002486252,"threshold_uncertainty_score":0.00494349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427227246168913,"score_gpt":0.2559348381100064,"score_spread":0.2416625656483173,"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."}}