{"id":"W4411329939","doi":"10.3390/bioengineering12060655","title":"AI-Powered Spectral Imaging for Virtual Pathology Staining","year":2025,"lang":"en","type":"article","venue":"Bioengineering","topic":"AI in cancer detection","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Israel Science Foundation","keywords":"Staining; Digital pathology; Pathology; Computer science; Spectral imaging; Biomedical engineering; Computer graphics (images); Medicine; Geology; Remote sensing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001636881,0.0001101012,0.0001138995,0.000193279,0.00007837442,0.00008597461,0.0003441605,0.00003800824,0.000002280987],"category_scores_gemma":[0.00004221687,0.000125056,0.00005366646,0.0002981829,0.00001698699,0.0002591037,0.0001186308,0.0001074068,0.000003536724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001433745,"about_ca_system_score_gemma":0.00005452745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004230366,"about_ca_topic_score_gemma":0.000001601711,"domain_scores_codex":[0.9991715,0.000009692993,0.00015128,0.0002922293,0.00007114523,0.0003041526],"domain_scores_gemma":[0.9995661,0.00006015206,0.00002677934,0.0002734218,0.00003998486,0.00003352223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003449581,0.00003330745,0.0009918455,0.000116774,0.00006918334,0.00005616926,0.001017564,0.02225275,0.09816851,0.4805537,0.002340291,0.3943653],"study_design_scores_gemma":[0.0006052186,0.0001011032,0.00155657,0.00005768025,0.000008854103,0.00002814785,0.00007054916,0.9443861,0.03253321,0.004778255,0.01559173,0.0002825794],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004794521,0.0002958745,0.9904401,0.001336798,0.002265362,0.0001337509,0.000001913835,0.0004324817,0.0002991744],"genre_scores_gemma":[0.9486347,0.000007810429,0.05071585,0.0003621582,0.0001352087,0.0000428535,0.000001098314,0.00001144629,0.00008886328],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9438402,"threshold_uncertainty_score":0.5099634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00628838652928189,"score_gpt":0.2474068124508965,"score_spread":0.2411184259216146,"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."}}