{"id":"W4365460709","doi":"10.48550/arxiv.2304.05482","title":"Computational Pathology: A Survey Review and The Way Forward","year":2023,"lang":"en","type":"review","venue":"arXiv (Cornell University)","topic":"AI in cancer detection","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Viewpoints; Computer science; Data science; Multidisciplinary approach; Workflow; Digital pathology; Sketch; Field (mathematics); Cyberinfrastructure; Interoperability; Management science; Artificial intelligence; Engineering; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002391114,0.001150429,0.001454075,0.007492383,0.0006389685,0.004035533,0.001876821,0.001967417,0.00942437],"category_scores_gemma":[0.0068911,0.0006741204,0.001255483,0.009886126,0.001225495,0.006644776,0.00188451,0.0026675,0.005412567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00121541,"about_ca_system_score_gemma":0.003545034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002210779,"about_ca_topic_score_gemma":0.002579828,"domain_scores_codex":[0.998952,0.0002196367,0.0001896014,0.0002161233,0.0003333389,0.00008929798],"domain_scores_gemma":[0.9919242,0.005331276,0.0004154665,0.0003051971,0.001749114,0.0002746407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007146247,0.00006272573,0.001032113,0.01975616,0.0001005953,0.0002068591,0.0003797322,0.0008792897,0.0007840317,0.01723941,0.09345698,0.8660306],"study_design_scores_gemma":[0.00000577828,0.00005994974,0.0008771116,0.007853644,0.00009049152,0.0009874265,0.0003297344,0.0004058764,0.0003306266,0.007143309,0.9818822,0.00003382696],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003911259,0.988943,0.00300618,0.003021878,0.001011735,0.00001306014,0.0001151715,0.0001017881,0.003396081],"genre_scores_gemma":[0.001957424,0.9913189,0.002629834,0.001213655,0.001322387,0.00001617148,0.0002413606,0.00005208908,0.00124819],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00942437,"threshold_uncertainty_score":0.03152764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.160211525889562,"score_gpt":0.250540532994813,"score_spread":0.09032900710525099,"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."}}