{"id":"W2948087128","doi":"10.1093/ehjci/jez118.019","title":"P432aortic stenosis. the role of aortoseptal angulation as a predictive factor for asymmetrical septal hypertrophy","year":2019,"lang":"en","type":"article","venue":"European Heart Journal - Cardiovascular Imaging","topic":"Cardiovascular and Diving-Related Complications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stenosis; Cardiology; Muscle hypertrophy; Internal medicine; Medicine; Factor (programming language); Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005574772,0.0002766789,0.0002321399,0.000417163,0.0003055871,0.0004289191,0.0002636402,0.0004747864,0.004343046],"category_scores_gemma":[0.001375803,0.0001706916,0.0002794429,0.0004230166,0.0002516778,0.0003441484,0.0002328593,0.0007568409,0.0004110321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000841036,"about_ca_system_score_gemma":0.0002382783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006119288,"about_ca_topic_score_gemma":0.0007562091,"domain_scores_codex":[0.9998079,0.00004505103,0.00002353724,0.00004525881,0.00004268625,0.00003569265],"domain_scores_gemma":[0.9988679,0.0002604342,0.0004150425,0.00005297231,0.00005861153,0.000345128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004710987,0.00003535903,0.9957626,0.0000148089,0.00002815408,0.000702715,0.00001907971,0.00004621822,0.0005071799,0.00003944487,0.0001383488,0.002235067],"study_design_scores_gemma":[0.00002286781,0.0002195826,0.995626,0.00001470754,0.00005073523,0.0030532,0.00006743021,0.0004037627,0.0001068501,0.00008275639,0.0003480465,0.000004129884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978393,0.0004208341,0.0001262468,0.0001327128,0.00002427386,0.000009161503,0.0001651671,0.000005834635,0.001276486],"genre_scores_gemma":[0.9993758,0.00008159404,0.0001045691,0.00002574522,0.0000544979,0.000004371329,0.0001392369,0.000002617953,0.000211743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004343046,"threshold_uncertainty_score":0.01452887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01384078580765649,"score_gpt":0.2563511949655781,"score_spread":0.2425104091579216,"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."}}