{"id":"W2139858249","doi":"10.1309/w00t-2ca8-mh68-rvdv","title":"Telepathology for Routine Light Microscopic and Frozen Section Diagnosis","year":2002,"lang":"en","type":"article","venue":"American Journal of Clinical Pathology","topic":"AI in cancer detection","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Blood Services; McMaster University","funders":"","keywords":"Telepathology; Frozen section procedure; Nuclear medicine; Medicine; Significant difference; Medical diagnosis; Pathology","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":[0.001353343,0.0001317982,0.0006717126,0.0001532566,0.0000861259,0.00003134435,0.0004158722,0.0001312823,0.00001807761],"category_scores_gemma":[0.0008966865,0.0001130912,0.0001927835,0.0002548608,0.0003855904,0.0002309723,0.0001042567,0.0004317433,0.000008096107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003535254,"about_ca_system_score_gemma":0.0000340932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005760587,"about_ca_topic_score_gemma":0.000007110328,"domain_scores_codex":[0.9977505,0.000469125,0.001041328,0.000348476,0.0001269443,0.0002636091],"domain_scores_gemma":[0.9970005,0.001215207,0.001139153,0.0002854872,0.0002073445,0.000152338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001124591,0.0002317602,0.1141346,0.00001023734,0.00005453324,0.0001494613,0.0005198438,0.0000146915,0.001103585,0.0002992237,0.003856577,0.8795131],"study_design_scores_gemma":[0.01395177,0.08065157,0.6373644,0.0002134724,0.000442615,0.01852142,0.0004919908,0.01204749,0.007989942,0.02027972,0.2064232,0.001622448],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7164448,0.0004847314,0.2702696,0.009878918,0.002664857,0.0001158377,0.000002205905,0.00003101247,0.0001080127],"genre_scores_gemma":[0.9278275,0.0009992116,0.06838135,0.001656262,0.001053506,0.00001784272,1.979998e-7,0.00001306175,0.00005107731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8778906,"threshold_uncertainty_score":0.4611723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04183767315152204,"score_gpt":0.3529141357613212,"score_spread":0.3110764626097992,"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."}}