{"id":"W4388814336","doi":"10.21203/rs.3.rs-3611888/v1","title":"Next-Generation Histopathology: A Clinical Trial of Advanced Virtual Histochemical Stains","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"AI in cancer detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"","keywords":"Histopathology; Medicine; Pathology; Dermatology","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":[0.004519932,0.0008282035,0.0008666863,0.0007293483,0.0004308618,0.001544466,0.0009368102,0.001577598,0.00950678],"category_scores_gemma":[0.003357507,0.0003785063,0.001005986,0.0003518635,0.0009231846,0.001718529,0.001128591,0.001606829,0.001321631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004868857,"about_ca_system_score_gemma":0.000660693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005723327,"about_ca_topic_score_gemma":0.0006269848,"domain_scores_codex":[0.9991685,0.0004297359,0.00002063919,0.0001557314,0.0001508764,0.00007456887],"domain_scores_gemma":[0.9983828,0.0007290412,0.00008896226,0.0003108371,0.000210585,0.0002779181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.07649452,0.00986399,0.009180219,0.001359713,0.001370983,0.0006910693,0.0002721256,0.01776942,0.04998491,0.004712016,0.01828555,0.8100156],"study_design_scores_gemma":[0.0771293,0.2458016,0.04049316,0.001315271,0.004749166,0.009949234,0.001016566,0.264215,0.134698,0.04062523,0.1794212,0.0005861292],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8118575,0.0309544,0.107607,0.008936015,0.004310788,0.003098213,0.00168887,0.003102561,0.02844465],"genre_scores_gemma":[0.8861371,0.006699463,0.09018526,0.002961316,0.0008339501,0.001888792,0.00145758,0.0005339306,0.009302559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00950678,"threshold_uncertainty_score":0.03180337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3535515714357945,"score_gpt":0.4931430447725919,"score_spread":0.1395914733367974,"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."}}