{"id":"W4293366869","doi":"10.1111/echo.15427","title":"Comparing a knowledge‐based 3D reconstruction algorithm to TomTec 3D echocardiogram algorithm in measuring left cardiac chamber volumes in the pediatric population","year":2022,"lang":"en","type":"article","venue":"Echocardiography","topic":"Cardiovascular Function and Risk Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; University of Alberta Hospital; University of Alberta","funders":"","keywords":"Medicine; Intraclass correlation; Cardiology; Algorithm; Internal medicine; Ejection fraction; Diastole; Ventricle; Population; Nuclear medicine; Heart failure; Blood pressure; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00248297,0.0004622783,0.0006084064,0.001436294,0.0002671418,0.001339216,0.0007708601,0.0007469435,0.002205873],"category_scores_gemma":[0.01086723,0.0002739533,0.0005060208,0.0007538401,0.000256798,0.0006487747,0.0009623716,0.0004998296,0.0005464174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005094187,"about_ca_system_score_gemma":0.001015056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004965745,"about_ca_topic_score_gemma":0.004822135,"domain_scores_codex":[0.998657,0.0005181978,0.0001339816,0.0003885207,0.0002454556,0.0000569202],"domain_scores_gemma":[0.9973525,0.001498058,0.0001940313,0.0001824651,0.0006842961,0.00008859069],"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":[0.001721219,0.0004620049,0.16613,0.0002277068,0.0003778989,0.0003360007,0.0005146528,0.05789358,0.0071414,0.001800561,0.003251043,0.7601438],"study_design_scores_gemma":[0.0001773925,0.0006357817,0.06827691,0.00009016812,0.0002495826,0.001348323,0.0003822498,0.9187922,0.006264094,0.001470841,0.002248961,0.00006342625],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6694019,0.001102006,0.3229936,0.000426194,0.00008581545,0.0003074103,0.0006665053,0.001492094,0.003524383],"genre_scores_gemma":[0.6572394,0.0004358101,0.3399629,0.0001487941,0.00002803245,0.0002794187,0.0007858712,0.0001828883,0.0009369076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004965745,"threshold_uncertainty_score":0.01313132,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01834987415960246,"score_gpt":0.2443296195147105,"score_spread":0.2259797453551081,"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."}}