{"id":"W4403757562","doi":"10.1038/s41598-024-76753-8","title":"Quantitative detection of macular microvascular abnormalities identified by optical coherence tomography angiography in different hematological diseases","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Retinal and Optic Conditions","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China; Novo Nordisk; Shandong University","keywords":"Optical coherence tomography; Optical coherence tomography angiography; Angiography; Medicine; Tomography; Radiology; 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":[0.0003998236,0.0001666887,0.000373798,0.0005818961,0.00009471905,0.0001469539,0.00006509805,0.00007552609,0.0002110284],"category_scores_gemma":[0.0001088786,0.0001195746,0.0006377919,0.001180175,0.0006798593,0.0001289452,0.00004309182,0.0001480127,0.00001258706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002513052,"about_ca_system_score_gemma":0.00005280973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004775403,"about_ca_topic_score_gemma":0.00001626094,"domain_scores_codex":[0.9979654,0.00005581514,0.0005939364,0.0006145141,0.0005150444,0.0002552994],"domain_scores_gemma":[0.9991345,0.0001014433,0.00009399378,0.000390425,0.0001353526,0.0001442976],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001770039,0.001216613,0.3313954,0.001953812,0.0006564948,0.005148822,0.0007512241,0.00001099717,0.6481319,0.002052414,0.007517944,0.0009874301],"study_design_scores_gemma":[0.0007304312,0.0006931025,0.3976372,0.002130479,0.001300765,0.0027315,0.00197284,0.0007650362,0.5538809,0.03344799,0.00399625,0.0007135867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859174,0.01081928,0.0009229748,0.0001179054,0.001271011,0.0004096522,0.00001954359,0.00006841192,0.0004537823],"genre_scores_gemma":[0.999059,0.00002329909,0.0001983873,0.000008866193,0.0000163589,0.00006718042,0.0001539291,0.000009983859,0.0004630329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09425104,"threshold_uncertainty_score":0.4876112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252873590246469,"score_gpt":0.2680592099480148,"score_spread":0.2555304740455501,"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."}}