{"id":"W4409176012","doi":"10.21203/rs.3.rs-5052423/v1","title":"Improving Microvascular Brain Analysis with Adversarial Learning for OCT-TPM Vascular Domain Translation","year":2025,"lang":"en","type":"preprint","venue":"Research Square","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"United Arab Emirates University","keywords":"Translation (biology); Adversarial system; Computer science; Domain (mathematical analysis); Neuroscience; Artificial intelligence; Psychology; Chemistry; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004866987,0.0003988581,0.001199088,0.002383863,0.0004842523,0.0002458078,0.0003271278,0.0004098229,0.0000790706],"category_scores_gemma":[0.0009271985,0.0003358502,0.001910647,0.002437489,0.0001896883,0.00008073824,0.0002384507,0.002243972,0.000007812037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003593104,"about_ca_system_score_gemma":0.0009333459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908942,"about_ca_topic_score_gemma":0.0001626882,"domain_scores_codex":[0.9949079,0.0009052538,0.0005193219,0.001238332,0.001617426,0.0008118005],"domain_scores_gemma":[0.996483,0.00076414,0.0001731557,0.001021725,0.001303294,0.0002547228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009949299,0.001840994,0.1552382,0.05573375,0.122671,0.0008459452,0.01218591,0.2367356,0.04663293,0.0005332348,0.003921781,0.3537114],"study_design_scores_gemma":[0.02101617,0.002899038,0.01608955,0.01054406,0.04813663,0.00002953559,0.01000136,0.763257,0.007118639,0.001396301,0.1167266,0.002785052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2157824,0.005988823,0.7638996,0.00740336,0.0001208533,0.004491117,0.0001084537,0.0003103066,0.001895018],"genre_scores_gemma":[0.9282881,0.0005622034,0.05652545,0.0001426052,0.00112906,0.0008267665,0.004880056,0.0001447894,0.007500968],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7125057,"threshold_uncertainty_score":0.9999093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03288005117089689,"score_gpt":0.3832564858164143,"score_spread":0.3503764346455174,"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."}}