{"id":"W4404213348","doi":"10.1007/978-3-031-64892-2_15","title":"Machine and Deep Learning in Hyperspectral Fluorescence-Guided Brain Tumor Surgery","year":2024,"lang":"en","type":"article","venue":"Advances in experimental medicine and biology","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hyperspectral imaging; Fluorescence; Neuroscience; Artificial intelligence; Computer science; Medicine; Psychology; Physics; Optics","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":[0.0006718756,0.0003202693,0.00036625,0.0003213639,0.0001905001,0.000492512,0.0005562172,0.0007693538,0.00103886],"category_scores_gemma":[0.001553788,0.000187885,0.0002686962,0.0003476196,0.0004694307,0.0007459896,0.0007375737,0.0008037849,0.0001686061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005100121,"about_ca_system_score_gemma":0.0005829516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003337427,"about_ca_topic_score_gemma":0.004149594,"domain_scores_codex":[0.9997962,0.00007594226,0.000008904441,0.00003257864,0.00005778137,0.00002849657],"domain_scores_gemma":[0.9994912,0.0002923093,0.00005898274,0.00003648899,0.00009547566,0.00002558283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002241249,0.0001412528,0.002675307,0.0001486391,0.00006870039,0.00007209138,0.00006782131,0.6226615,0.01111226,0.02236828,0.003924195,0.3365359],"study_design_scores_gemma":[0.00000179673,0.00001180373,0.0003096987,0.000003927508,0.000002145556,0.0000145867,0.000004251423,0.9946213,0.0009387925,0.003797212,0.0002917363,0.0000027947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1016894,0.003897279,0.8872854,0.002387186,0.0001088363,0.0000282526,0.0001832048,0.0004371855,0.003983287],"genre_scores_gemma":[0.8795121,0.001602601,0.1121908,0.0002748817,0.000137568,0.00005137218,0.0001648549,0.00004758749,0.006018111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003337427,"threshold_uncertainty_score":0.006635964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02455045003893835,"score_gpt":0.386901484099345,"score_spread":0.3623510340604067,"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."}}