{"id":"W2154996281","doi":"10.3138/jvme.34.4.431","title":"Teaching Medical Pathology in the Twenty-First Century: Virtual Microscopy Applications","year":2007,"lang":"en","type":"article","venue":"Journal of Veterinary Medical Education","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Virtual microscopy; Digital pathology; Curriculum; Zoom; Medical education; Histopathology; Pathology; Computer science; General pathology; Graduate medical education; Medical physics; Multimedia; Medicine; Psychology; Accreditation; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003498019,0.0001058143,0.0001589991,0.0001052245,0.00009986597,0.00001292934,0.0005762494,0.0003400427,0.00006813108],"category_scores_gemma":[0.001909354,0.00007097989,0.00008168318,0.0001140153,0.000260679,0.000005708677,0.00008010502,0.0006221976,0.000004780965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003268932,"about_ca_system_score_gemma":0.000703019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000165887,"about_ca_topic_score_gemma":0.00003257645,"domain_scores_codex":[0.9983011,0.0002227667,0.000525813,0.000160328,0.0005597677,0.0002302578],"domain_scores_gemma":[0.9991335,0.0001600758,0.0002071003,0.0001955189,0.00006532644,0.0002385069],"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":[0.0004509773,0.00220617,0.004814175,0.00005665747,0.00004419974,0.000312743,0.00180306,9.935439e-7,0.02169636,0.0007314777,0.01499475,0.9528884],"study_design_scores_gemma":[0.0007643243,0.001803006,0.01351037,0.0001404432,0.00001567224,0.005061273,0.003155343,0.00001141673,0.0003166426,0.0001222673,0.9749712,0.0001280801],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735935,0.002069121,0.01226166,0.01052043,0.001013278,0.000111069,0.00000126217,0.000005533153,0.0004241457],"genre_scores_gemma":[0.9923598,0.0006722859,0.001924807,0.003426802,0.001524497,0.00001411803,0.00002211437,0.000009119734,0.0000464894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9599764,"threshold_uncertainty_score":0.2894476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02343469945892704,"score_gpt":0.3728781045903753,"score_spread":0.3494434051314482,"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."}}