{"id":"W3108039948","doi":"10.1038/s41598-020-78061-3","title":"VISTA: VIsual Semantic Tissue Analysis for pancreatic disease quantification in murine cohorts","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"AI in cancer detection","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pancreas Centre (Canada)","funders":"National Cancer Institute; Oregon Clinical and Translational Research Institute; Oregon Health and Science University","keywords":"Immunostaining; Pathology; H&E stain; Dysplasia; Staining; Medicine; Biology; Immunohistochemistry","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":[0.001146852,0.0001692975,0.0003333708,0.000438974,0.0002412494,0.0005865745,0.0003511716,0.00004568919,0.0000227756],"category_scores_gemma":[0.0003367786,0.0001724851,0.0001479232,0.003760246,0.00009985986,0.0005614682,0.000132398,0.00008546977,0.00001957989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001245541,"about_ca_system_score_gemma":0.0001761649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005818747,"about_ca_topic_score_gemma":0.00008463772,"domain_scores_codex":[0.9968495,0.00006725384,0.0006927439,0.001445812,0.0006017634,0.000342935],"domain_scores_gemma":[0.9980726,0.00005434287,0.0003850395,0.001055265,0.0001945196,0.0002382805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003210759,0.001283216,0.6925904,0.001671677,0.0009466512,0.003496504,0.006655158,0.08342443,0.07691716,0.004014458,0.02811465,0.1005647],"study_design_scores_gemma":[0.000272032,0.0001134043,0.08990462,0.00004539388,0.0003326123,0.00002390274,0.00004613768,0.8660855,0.0210947,0.005348842,0.01623462,0.0004981966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2831382,0.0001398675,0.7121418,0.001324602,0.002295716,0.0007170399,0.000002532676,0.0001871245,0.00005312943],"genre_scores_gemma":[0.9956106,0.000003600752,0.003566454,0.00008768804,0.00008779769,0.0001479228,0.00006965415,0.00001328326,0.0004129855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7826611,"threshold_uncertainty_score":0.7033737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416981608989453,"score_gpt":0.2971887034555074,"score_spread":0.2730188873656129,"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."}}