{"id":"W4323533588","doi":"10.1038/s41598-023-30680-2","title":"Challenges in, and recommendations for, hyperspectral imaging in ex vivo malignant glioma biopsy measurements","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Westfälische Wilhelms-Universität Münster; Carl Zeiss Meditec AG","keywords":"Protoporphyrin IX; Glioma; Ex vivo; Biopsy; Fluorophore; In vivo; Hyperspectral imaging; Fluorescence microscope; Microscopy; Medicine; Neuronavigation; Pathology; Computer science; Biomedical engineering; Radiology; Fluorescence; Artificial intelligence; Cancer research; Biology; Magnetic resonance imaging; Optics; Physics","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":[0.03014886,0.001084371,0.001167179,0.001283685,0.0005902391,0.004609181,0.003223523,0.003657383,0.002282434],"category_scores_gemma":[0.05014115,0.0006871821,0.0004795719,0.000943546,0.001723246,0.003797093,0.001547414,0.002779257,0.002994881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221466,"about_ca_system_score_gemma":0.002668973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003524637,"about_ca_topic_score_gemma":0.006413628,"domain_scores_codex":[0.9883423,0.005841572,0.000803736,0.001664555,0.003048639,0.000299189],"domain_scores_gemma":[0.9641555,0.01854042,0.002113225,0.002202086,0.01194562,0.001043073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000776501,0.0003754736,0.03402265,0.003252483,0.0002219109,0.0004329186,0.0009760332,0.01411656,0.07302564,0.01200541,0.0552852,0.8055091],"study_design_scores_gemma":[0.0002230275,0.001711937,0.08453242,0.008621119,0.0005950668,0.004382572,0.005938351,0.2351599,0.1624437,0.06782037,0.4276863,0.000885256],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07659151,0.1197567,0.6739859,0.09911013,0.002460064,0.0007222324,0.00145947,0.005485802,0.02042824],"genre_scores_gemma":[0.2151668,0.02868877,0.7389987,0.008121018,0.001205329,0.0007463136,0.0008530956,0.000726181,0.005493767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03014886,"threshold_uncertainty_score":0.1594443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09816432490251188,"score_gpt":0.3661587242480888,"score_spread":0.267994399345577,"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."}}