{"id":"W2156600218","doi":"10.1111/phpp.12161","title":"Real‐time visualization of melanin granules in normal human skin using combined multiphoton and reflectance confocal microscopy","year":2015,"lang":"en","type":"article","venue":"Photodermatology Photoimmunology & Photomedicine","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; Vancouver Coastal Health Research Institute; University of British Columbia; BC Cancer Agency","funders":"Canadian Institutes of Health Research; Canadian Dermatology Foundation","keywords":"Melanin; Confocal microscopy; Human skin; Microscopy; Confocal; Dermis; Autofluorescence; Ex vivo; Materials science; Pathology; In vivo; Optical sectioning; Biomedical engineering; Fluorescence microscope; Staining; Epidermis (zoology); Fluorescence; Chemistry; Anatomy; Optics; Biology; Cell biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003731659,0.0002520259,0.0001601872,0.0003173941,0.0001611389,0.0002271454,0.000304444,0.0004405309,0.0008620252],"category_scores_gemma":[0.0002533077,0.0001892897,0.0001814543,0.0001174152,0.0002281294,0.0003169771,0.0002790893,0.0003162261,0.0002940042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002653353,"about_ca_system_score_gemma":0.0001538389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004320421,"about_ca_topic_score_gemma":0.0005647802,"domain_scores_codex":[0.9998148,0.00003604313,0.000009042884,0.00005567243,0.00006253566,0.00002185903],"domain_scores_gemma":[0.9998814,0.000035783,0.00002113504,0.00001983084,0.00002760254,0.0000142128],"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":[0.00007283599,0.000014883,0.0003162624,0.0000337331,0.000004157356,0.00007042017,0.00002088422,0.00009411881,0.997118,0.00003345349,0.00003008218,0.00219121],"study_design_scores_gemma":[0.00004174836,0.0004673393,0.01682891,0.00001950554,0.0000297772,0.00241486,0.00008172818,0.007876918,0.970414,0.000122624,0.001684837,0.00001779175],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.965141,0.001865301,0.0311204,0.0001049781,0.00001021912,0.00006005877,0.0001179308,0.0002004676,0.001379594],"genre_scores_gemma":[0.9501196,0.0006515852,0.04805517,0.00004973484,0.0000102022,0.0001011854,0.00009271845,0.00002669657,0.0008931226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008620252,"threshold_uncertainty_score":0.002883792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01343459225723584,"score_gpt":0.3283308559685016,"score_spread":0.3148962637112657,"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."}}