{"id":"W4406627290","doi":"10.1016/j.jtcvs.2025.01.008","title":"Comparing innovative artificial intelligence algorithms to assess echocardiographic videos for clinical modeling","year":2025,"lang":"en","type":"article","venue":"Journal of Thoracic and Cardiovascular Surgery","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre; St. Boniface Hospital","funders":"","keywords":"Computer science; Artificial intelligence; Algorithm; Machine learning","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":[0.006878978,0.001353005,0.0007274744,0.002286183,0.0003000634,0.001396915,0.001323933,0.001249568,0.00138147],"category_scores_gemma":[0.01996676,0.0003909432,0.0008241526,0.0008132264,0.0005369695,0.001603605,0.001217969,0.001353319,0.0003968709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00167736,"about_ca_system_score_gemma":0.001394356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005579615,"about_ca_topic_score_gemma":0.005193094,"domain_scores_codex":[0.9978922,0.0008390389,0.0001808663,0.0004848252,0.0005056913,0.00009746624],"domain_scores_gemma":[0.9924331,0.004990673,0.0006023811,0.0005476396,0.001220925,0.0002052883],"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":[0.0009089593,0.0006045183,0.02763753,0.0002149667,0.000598381,0.00008621547,0.00008944862,0.642886,0.003395304,0.002356208,0.002068326,0.3191541],"study_design_scores_gemma":[0.00001537044,0.0001394273,0.00148176,0.00001597577,0.00001827875,0.00002192091,0.00001640203,0.9961013,0.001130335,0.0008752796,0.0001753793,0.000008631621],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3528514,0.002397795,0.6352392,0.001484597,0.0002289334,0.0004872868,0.0008029987,0.002116673,0.004390999],"genre_scores_gemma":[0.8569091,0.0004721039,0.1401364,0.0003609091,0.00007344504,0.0002710971,0.0008655658,0.00009560695,0.0008157658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006878978,"threshold_uncertainty_score":0.03637993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2150869900521632,"score_gpt":0.4400281356344883,"score_spread":0.2249411455823251,"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."}}