{"id":"W4389537784","doi":"10.1109/embc40787.2023.10340335","title":"Composite Biomarker Image for Advanced Visualization in Histopathology","year":2023,"lang":"en","type":"article","venue":"","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Grand River Hospital; Vector Institute; University of Waterloo","funders":"","keywords":"Digital pathology; Computer science; Biomarker; Visualization; Artificial intelligence; Computer vision; H&E stain; Workflow; Pathology; Immunohistochemistry; Pattern recognition (psychology); Medicine","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":[0.0009351091,0.0008630842,0.0003998284,0.002337808,0.0002922386,0.001827401,0.0007644676,0.001494032,0.01269901],"category_scores_gemma":[0.002380079,0.0003768864,0.000628241,0.001065168,0.0003891803,0.001279308,0.00111909,0.0008634836,0.00328856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004310376,"about_ca_system_score_gemma":0.0005628252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006539483,"about_ca_topic_score_gemma":0.0006396896,"domain_scores_codex":[0.9995468,0.0001174015,0.00003664775,0.00008192437,0.0001667476,0.00005042811],"domain_scores_gemma":[0.9991736,0.0002326584,0.00007692724,0.0001393758,0.0003128988,0.00006444765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006975431,0.0001278455,0.001547288,0.001120656,0.00007685967,0.001042635,0.000445694,0.0127072,0.3469151,0.01812585,0.02944269,0.5877506],"study_design_scores_gemma":[0.0001309094,0.0004450327,0.006622497,0.0003835522,0.000121587,0.003978964,0.0004063233,0.4824485,0.3029851,0.02315622,0.1790845,0.0002368581],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01044642,0.001029692,0.9774103,0.0006981146,0.000220549,0.0001754578,0.0005230691,0.005811026,0.003685439],"genre_scores_gemma":[0.07101821,0.00128624,0.921182,0.000291472,0.0001414288,0.0002505458,0.0006647321,0.0007156613,0.004449719],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01269901,"threshold_uncertainty_score":0.04248244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02186244418329363,"score_gpt":0.3238084651881344,"score_spread":0.3019460210048408,"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."}}