{"id":"W3028222251","doi":"10.1364/ots.2020.stu4d.3","title":"All-optical Reflection-mode Microscopic Histology of Unstained Human Tissues","year":2020,"lang":"en","type":"article","venue":"Biophotonics Congress: Biomedical Optics 2020 (Translational, Microscopy, OCT, OTS, BRAIN)","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Waterloo","funders":"","keywords":"Histology; Microscopy; Reflection (computer programming); Materials science; Optical microscope; Optics; Computer science; Scanning electron microscope; Pathology; Physics; Medicine; Composite material","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":[0.0005889732,0.0005615609,0.0001490623,0.0006678143,0.000276709,0.0002751804,0.0003924447,0.0003662493,0.009044304],"category_scores_gemma":[0.000432017,0.0003429858,0.0001724378,0.000223621,0.0003805245,0.0003978651,0.0002494772,0.0005484913,0.004230914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676989,"about_ca_system_score_gemma":0.0003643924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000420932,"about_ca_topic_score_gemma":0.00136012,"domain_scores_codex":[0.9998534,0.00002809815,0.000009874692,0.00003633959,0.0000541558,0.00001812075],"domain_scores_gemma":[0.999648,0.000109525,0.00004297771,0.00009484967,0.00008081726,0.00002378859],"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":[0.00003877345,0.00000909204,0.0001527761,0.00007431717,0.000004484044,0.00007354282,0.00002716386,0.00006211422,0.9921473,0.0003030534,0.0002853594,0.006822056],"study_design_scores_gemma":[0.00001758441,0.0006452762,0.01093807,0.00004807926,0.00003265321,0.004348588,0.0001163785,0.00216283,0.9667387,0.000866907,0.01406119,0.00002382203],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4626794,0.007461764,0.4748732,0.0007254072,0.000509945,0.0004656588,0.001816969,0.003939958,0.04752765],"genre_scores_gemma":[0.5475813,0.006694753,0.3970598,0.000451005,0.00009762154,0.0002737694,0.00126059,0.000684127,0.0458971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009044304,"threshold_uncertainty_score":0.03025627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598950818014407,"score_gpt":0.2949108725247543,"score_spread":0.2789213643446102,"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."}}