{"id":"W4306319958","doi":"10.1093/eurheartj/ehac544.2091","title":"Use of a digital application to optimize the clinical trajectory of patients in a TAVI program","year":2022,"lang":"en","type":"article","venue":"European Heart Journal","topic":"Cardiac Valve Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute","funders":"","keywords":"Medicine; Interquartile range; Health care; Telemedicine; Digital health; Fast track; Physical therapy; Medical emergency; Emergency medicine; Surgery","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":[0.0009814585,0.0002339854,0.0002110647,0.0005979469,0.0004212467,0.0009954703,0.0003232512,0.0002557283,0.004531965],"category_scores_gemma":[0.008086483,0.0001004221,0.000349638,0.0004157741,0.0001455407,0.0005121456,0.0008434798,0.0003814177,0.0007108028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003335353,"about_ca_system_score_gemma":0.000847979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007451121,"about_ca_topic_score_gemma":0.001481298,"domain_scores_codex":[0.9991252,0.0004169537,0.0000973593,0.00008679737,0.0001448313,0.0001288971],"domain_scores_gemma":[0.9970809,0.0009565815,0.0007665225,0.0001313563,0.0002738184,0.0007908391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001189302,0.004277093,0.5360877,0.0005172886,0.00009947915,0.0002716714,0.002028791,0.0005191333,0.002030773,0.0001520948,0.005384389,0.4474423],"study_design_scores_gemma":[0.0003807195,0.008727087,0.96163,0.0005959299,0.0002637733,0.0007422156,0.00443762,0.005668197,0.002756172,0.0004297594,0.01428285,0.00008570198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924886,0.0004514141,0.001269554,0.0008512073,0.00003862983,0.0002983848,0.0002530273,0.0001480814,0.004201112],"genre_scores_gemma":[0.9938885,0.0004017932,0.004193827,0.00022026,0.00003255664,0.0002382023,0.0001849312,0.00001163441,0.0008282059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004531965,"threshold_uncertainty_score":0.01516086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07053402981309796,"score_gpt":0.398544820594378,"score_spread":0.32801079078128,"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."}}