{"id":"W4393399073","doi":"10.48550/arxiv.2403.19880","title":"Vision-Language Synthetic Data Enhances Echocardiography Downstream Tasks","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downstream (manufacturing); Computer science; Computer vision; Engineering; Operations management","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002128642,0.00107524,0.0005493852,0.0007449563,0.0002932962,0.001281799,0.001167236,0.001343077,0.003699756],"category_scores_gemma":[0.01270783,0.0003629081,0.0008570922,0.0005826625,0.0007762719,0.0009738411,0.001849375,0.001590576,0.002023763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006863052,"about_ca_system_score_gemma":0.0008096864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002560342,"about_ca_topic_score_gemma":0.003394863,"domain_scores_codex":[0.9989354,0.0003825653,0.00006073977,0.0003028402,0.0002460228,0.0000724078],"domain_scores_gemma":[0.9955596,0.002431668,0.0002073634,0.001024536,0.000569874,0.0002069564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002132881,0.001052654,0.007650811,0.0008397204,0.0002237744,0.0006732563,0.0003957005,0.5887687,0.05453617,0.01007622,0.04708875,0.2865614],"study_design_scores_gemma":[0.0001839585,0.0002893397,0.001374474,0.00004300877,0.00003217312,0.0002608898,0.00007288119,0.9444671,0.03318482,0.01064415,0.009393571,0.00005367971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2356916,0.001070743,0.7068706,0.002613643,0.001185078,0.0005038991,0.01358204,0.0292103,0.009272198],"genre_scores_gemma":[0.6807223,0.0003499482,0.2810449,0.001010437,0.0002278239,0.0003690033,0.02978274,0.002336517,0.004156353],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003699756,"threshold_uncertainty_score":0.0123769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04340184780286156,"score_gpt":0.2716596295770196,"score_spread":0.228257781774158,"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."}}