{"id":"W2620800623","doi":"10.15353/vsnl.v1i1.41","title":"Numerical Spectral Demulitplexing Microscopy of Measurements from an Anatomical Specimen","year":2015,"lang":"en","type":"article","venue":"Vision Letters","topic":"Photoacoustic and Ultrasonic Imaging","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Multispectral image; Microscopy; Microscope; Optical microscope; Fluorescence microscope; Optics; Materials science; RGB color model; Fluorescence; Physics; Analytical Chemistry (journal); Chemistry; Remote sensing; Scanning electron microscope; Computer science; Artificial intelligence; Geography; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0003708229,0.0003724095,0.0001757776,0.0008473857,0.000237967,0.0004010631,0.0004158678,0.0003314837,0.002389492],"category_scores_gemma":[0.001234338,0.0002257116,0.0002124408,0.000657853,0.0005627644,0.000588106,0.0006304459,0.0004718798,0.0005394017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007572211,"about_ca_system_score_gemma":0.0006487973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001462866,"about_ca_topic_score_gemma":0.003538678,"domain_scores_codex":[0.9997748,0.00002882219,0.00001339969,0.0000638366,0.0001001042,0.00001915677],"domain_scores_gemma":[0.999414,0.0001566203,0.0001032969,0.0001424693,0.0001480192,0.00003563438],"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":[0.00007285769,0.00005104699,0.002884396,0.0001632188,0.00001283109,0.000120423,0.0001340444,0.01060137,0.8949267,0.003136704,0.0008120104,0.08708434],"study_design_scores_gemma":[0.00001383577,0.000140098,0.0253091,0.00005170053,0.00002150678,0.0007062889,0.0001726495,0.2537557,0.7094135,0.002678257,0.00768606,0.00005110542],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2217217,0.0003459594,0.7685198,0.0002814476,0.00008932822,0.0001162383,0.0004586623,0.001514545,0.006952396],"genre_scores_gemma":[0.3665806,0.0003186867,0.6286648,0.0001001452,0.00002189768,0.0001183129,0.0004396648,0.0001777357,0.003578145],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002389492,"threshold_uncertainty_score":0.007993639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02551635169749632,"score_gpt":0.2812658968834401,"score_spread":0.2557495451859437,"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."}}