{"id":"W3199709140","doi":"10.5430/air.v11n1p1","title":"Classification of Echocardiogram View using A Convolutional Neural Network","year":2021,"lang":"en","type":"article","venue":"Artificial Intelligence Research","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parasternal line; Convolutional neural network; Computer science; Artificial intelligence; Papillary muscle; Artificial neural network; Short axis; Deep learning; Pattern recognition (psychology); Computer vision; Medicine; Long axis; Cardiology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004550165,0.0008104503,0.0003761567,0.0009009076,0.0001712654,0.0005561321,0.0004847213,0.0006223631,0.001206494],"category_scores_gemma":[0.001070098,0.0002466845,0.0005674952,0.0003535697,0.0001843279,0.0003202745,0.0004370087,0.000615733,0.0004571357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006922976,"about_ca_system_score_gemma":0.0005085306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0102714,"about_ca_topic_score_gemma":0.01095525,"domain_scores_codex":[0.9998005,0.00002030516,0.000009468352,0.00006824388,0.00004956512,0.00005192642],"domain_scores_gemma":[0.9997229,0.00007968675,0.00002448672,0.0000299803,0.0001192826,0.00002368868],"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":[0.001000882,0.0004877315,0.03020219,0.0001451908,0.0002274781,0.000677613,0.0001466197,0.2372945,0.08451956,0.001371521,0.007713182,0.6362136],"study_design_scores_gemma":[0.000007264268,0.0000834248,0.00677604,0.00001635914,0.00002559184,0.00007974674,0.00001905606,0.9817723,0.01027888,0.0003954433,0.0005334609,0.0000124471],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7129911,0.001031478,0.275535,0.0004423611,0.0002791584,0.0001782235,0.001706984,0.002797854,0.005037947],"genre_scores_gemma":[0.929601,0.0002991348,0.06389415,0.0001195638,0.00003892955,0.0000703616,0.001835502,0.00004947409,0.004091955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0102714,"threshold_uncertainty_score":0.02042323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3198568844847613,"score_gpt":0.5234243938226205,"score_spread":0.2035675093378592,"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."}}