{"id":"W3184844207","doi":"10.1186/s42649-021-00059-6","title":"Multispectral intravital microscopy for simultaneous bright-field and fluorescence imaging of the microvasculature","year":2021,"lang":"en","type":"article","venue":"Han-guk hyeonmigyeong hakoeji/Applied microscopy","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St Joseph's Health Care; Lawson Health Research Institute; London Health Sciences Centre; Western University","funders":"Schulich School of Medicine and Dentistry; Lawson Health Research Institute","keywords":"Microscopy; Intravital microscopy; Microscope; Fluorescence microscope; Multispectral image; Optical microscope; Context (archaeology); Fluorescence; Microcirculation; Optics; Materials science; Physics; Computer science; Scanning electron microscope; Biology; Artificial intelligence; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002507934,0.0006246367,0.0005871717,0.00007784755,0.0004760275,0.0001303709,0.000718214,0.0004456289,0.00001866511],"category_scores_gemma":[0.0003256701,0.0005644255,0.0003536714,0.0003029254,0.0006161878,0.00002230189,0.0005791365,0.0004747092,0.000003990341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006661766,"about_ca_system_score_gemma":0.0002705502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003207084,"about_ca_topic_score_gemma":0.0001213181,"domain_scores_codex":[0.9967409,0.00007050385,0.0006547975,0.001304802,0.000250528,0.0009784538],"domain_scores_gemma":[0.9978296,0.0001523328,0.0003259561,0.001267769,0.000254659,0.0001696523],"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":[0.0003334832,0.0001577351,0.002745545,0.0001546344,0.00008841695,0.00001461263,0.0002023203,0.00001573948,0.9905972,0.0003185995,0.002386265,0.002985377],"study_design_scores_gemma":[0.001494585,0.0001207905,0.0006752568,0.0001722347,0.00009328846,0.0001480428,0.0002392217,0.0001040621,0.9834572,0.0003039662,0.01256632,0.0006250006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.870042,0.007115257,0.1188006,0.0003909364,0.0008538772,0.001974356,0.000458182,0.0001258842,0.0002389414],"genre_scores_gemma":[0.8141915,0.0005477836,0.1830839,0.0010199,0.0002990957,0.0001164291,0.0001950486,0.0001364261,0.0004099165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06428329,"threshold_uncertainty_score":0.9996807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003161518716019327,"score_gpt":0.2521633575728329,"score_spread":0.2490018388568136,"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."}}