{"id":"W4410198708","doi":"10.1101/2025.05.07.25327158","title":"EchoGraph System for Automated Quality Assessment of Echocardiography Reports","year":2025,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Quality (philosophy); Computer science; Philosophy; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00410393,0.00109856,0.0005650877,0.003067631,0.00020808,0.001724316,0.001593745,0.0008585189,0.004463425],"category_scores_gemma":[0.01523545,0.0003697627,0.0009753871,0.001090837,0.0002546068,0.001320143,0.001195094,0.0008451218,0.004671189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001048878,"about_ca_system_score_gemma":0.001109847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005203359,"about_ca_topic_score_gemma":0.004574618,"domain_scores_codex":[0.9982382,0.0004915377,0.0002415484,0.0005653354,0.0004033121,0.00006005623],"domain_scores_gemma":[0.9912252,0.004411694,0.0008700697,0.001557199,0.001651399,0.0002843768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002947542,0.0007316921,0.1230354,0.001746178,0.001018511,0.001306773,0.0008450414,0.08596612,0.0283305,0.00442982,0.127873,0.6217693],"study_design_scores_gemma":[0.0003046595,0.0005636757,0.02937792,0.0002131151,0.000333526,0.001010608,0.0001712536,0.8873478,0.03422898,0.00573916,0.04060236,0.0001069725],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1857379,0.002901452,0.4342746,0.00147943,0.0004311324,0.001531079,0.06567965,0.3016957,0.006268912],"genre_scores_gemma":[0.5946832,0.000874,0.2814772,0.0007388958,0.0002196249,0.0007020675,0.1125774,0.002727112,0.006000508],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005203359,"threshold_uncertainty_score":0.0217039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02516659960978853,"score_gpt":0.3839037236537302,"score_spread":0.3587371240439416,"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."}}