{"id":"W3134412720","doi":"10.1117/12.2578944","title":"Photoacoustic remote sensing 3D H&E histology with fluorescence validation","year":2021,"lang":"en","type":"article","venue":"Photons Plus Ultrasound: Imaging and Sensing 2021","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Microscopy; Confocal microscopy; Confocal; Materials science; Fluorescence microscope; Fluorescence; Fluorescence-lifetime imaging microscopy; Biomedical engineering; Microscope; Gold standard (test); Optics; Medicine; Physics; Radiology","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":[0.001585129,0.0007117189,0.0002387927,0.0007276321,0.0003407864,0.0005943276,0.00066134,0.0008002392,0.003894737],"category_scores_gemma":[0.001154304,0.0004526752,0.0003280775,0.0002627338,0.0007483952,0.0004348897,0.0008469288,0.0005345642,0.001693403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003319277,"about_ca_system_score_gemma":0.0005489562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007092864,"about_ca_topic_score_gemma":0.001062011,"domain_scores_codex":[0.999302,0.0001114831,0.00003701838,0.0001413914,0.0003633437,0.00004467713],"domain_scores_gemma":[0.9992262,0.0001971865,0.0001068981,0.000210709,0.0002316664,0.00002740382],"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":[0.00004172977,0.00002092719,0.0005674536,0.00007037658,0.000008237847,0.000109877,0.00005729488,0.001281723,0.9826968,0.0007632748,0.0002801848,0.01410225],"study_design_scores_gemma":[0.000009575903,0.0001646828,0.002803656,0.00001674065,0.00001473025,0.000812925,0.00005398456,0.01491209,0.9736379,0.0003535365,0.007187159,0.00003299721],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2273445,0.0007715657,0.7582897,0.0003283106,0.0001125818,0.0004035294,0.0005922014,0.003375741,0.008781921],"genre_scores_gemma":[0.4108492,0.0006823263,0.5781404,0.0002487779,0.00003214247,0.0004414388,0.0004638783,0.0003605481,0.008781306],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003894737,"threshold_uncertainty_score":0.01302922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008391720317799767,"score_gpt":0.2122891365529865,"score_spread":0.2038974162351867,"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."}}