{"id":"W2901946084","doi":"10.4103/jpi.jpi_53_18","title":"Artificial Intelligence and Digital Pathology: Challenges and Opportunities","year":2018,"lang":"en","type":"review","venue":"Journal of Pathology Informatics","topic":"AI in cancer detection","field":"Computer Science","cited_by":540,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jacobs (Canada); University of Waterloo","funders":"","keywords":"Digital pathology; Computer science; Exploit; Data science; Artificial intelligence; Applications of artificial intelligence; Computer security","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":[0.003737043,0.0007294355,0.001272172,0.003552953,0.001044334,0.003986914,0.001311415,0.004141987,0.003452821],"category_scores_gemma":[0.004570765,0.0003948243,0.0005688781,0.003513568,0.004375258,0.007340022,0.002295439,0.005613636,0.001203107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001489041,"about_ca_system_score_gemma":0.003535772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001437129,"about_ca_topic_score_gemma":0.002252815,"domain_scores_codex":[0.9987612,0.0004260748,0.0001308442,0.0001350818,0.000457074,0.00008978803],"domain_scores_gemma":[0.9936705,0.004519193,0.0003261912,0.0001808974,0.0009970515,0.0003061464],"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":[0.00004226781,0.00009133408,0.000469731,0.009285365,0.00004684352,0.0002735259,0.0006237119,0.0005746015,0.0005293005,0.08186857,0.03321805,0.8729768],"study_design_scores_gemma":[0.000007639255,0.00007166181,0.00103743,0.009298423,0.00003010236,0.001621405,0.0008680553,0.0003051496,0.0002190943,0.0613736,0.9251187,0.00004876953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001364417,0.9914002,0.0004970949,0.006050208,0.0004781522,0.00000358619,0.000005183959,0.000008144367,0.001421038],"genre_scores_gemma":[0.002093007,0.9937571,0.0006551494,0.001881193,0.001147328,0.000008829436,0.000009780456,0.000003618651,0.0004439561],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004141987,"threshold_uncertainty_score":0.01976365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2132836934452924,"score_gpt":0.3396416517427792,"score_spread":0.1263579582974867,"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."}}