{"id":"W1902178923","doi":"","title":"Enter evaluation of mitral inflow velocity profile: optimal through plane location for mitral inflow assessment with cardiac magnetic resonance","year":2014,"lang":"en","type":"article","venue":"Experimental & clinical cardiology/Experimental and clinical cardiology","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflow; Medicine; Magnetic resonance imaging; Cardiac magnetic resonance; Cardiology; Mitral valve; Cardiac magnetic resonance imaging; Internal medicine; Radiology; Nuclear magnetic resonance; Mechanics; Physics","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":[0.001254405,0.0007882452,0.0006621551,0.001685047,0.0002434319,0.00106576,0.0002932585,0.0009483909,0.001501718],"category_scores_gemma":[0.003219903,0.0002377855,0.0002999888,0.0004996508,0.0004249806,0.001415697,0.0004457284,0.0004831596,0.0006608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001818991,"about_ca_system_score_gemma":0.0003498444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003912033,"about_ca_topic_score_gemma":0.0005546947,"domain_scores_codex":[0.9996485,0.00009300381,0.00007675629,0.00006619583,0.00006435382,0.00005119605],"domain_scores_gemma":[0.9992623,0.0001694833,0.0001884307,0.00006416586,0.000197004,0.0001186282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005760194,0.0004214101,0.2982787,0.001204216,0.0002176344,0.009867609,0.0006330813,0.004070605,0.414581,0.001565031,0.001919905,0.2614807],"study_design_scores_gemma":[0.0004113565,0.004776146,0.5838423,0.001163519,0.0008671017,0.05507136,0.001528679,0.05540137,0.2803223,0.003649726,0.01269061,0.0002754148],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792353,0.00603142,0.1072101,0.0005029314,0.000142786,0.0003278068,0.0005816732,0.0005083648,0.005459566],"genre_scores_gemma":[0.955465,0.001687532,0.04156216,0.0001446617,0.00007932822,0.00009511183,0.0002609124,0.0001258785,0.0005795482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001685047,"threshold_uncertainty_score":0.006634057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05172360156019386,"score_gpt":0.4557064771301556,"score_spread":0.4039828755699617,"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."}}