{"id":"W4307024163","doi":"10.1016/j.cjca.2022.08.065","title":"USE OF A DIGITAL APPLICATION TO OPTIMIZE THE CLINICAL TRAJECTORY OF PATIENTS IN A TAVI PROGRAM","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Cardiology","topic":"Cardiac Health and Mental Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Digital health; Health care; Medical emergency; Surgery","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":[0.001021102,0.0003757061,0.0002677196,0.001111217,0.0005897698,0.001506287,0.0004610423,0.0004843987,0.01143342],"category_scores_gemma":[0.009126284,0.000143676,0.0003268574,0.000628698,0.0001356607,0.0007575788,0.0009997102,0.0005950131,0.001867498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003788339,"about_ca_system_score_gemma":0.00116032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001561634,"about_ca_topic_score_gemma":0.003588953,"domain_scores_codex":[0.9993975,0.0002565861,0.00007184534,0.00008291587,0.0001225798,0.00006858565],"domain_scores_gemma":[0.9960924,0.001989844,0.000358414,0.0001934752,0.0003947148,0.0009711614],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001571886,0.002838781,0.09090474,0.0003114608,0.00007833837,0.0009660198,0.001564756,0.00304169,0.003905992,0.001101705,0.0337485,0.8599662],"study_design_scores_gemma":[0.002141725,0.0120881,0.5389345,0.001996552,0.001150747,0.00549449,0.00973701,0.164952,0.02560518,0.01161024,0.225537,0.0007523668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8510422,0.00117763,0.06775161,0.01137222,0.000958472,0.001449099,0.002886468,0.01154536,0.05181687],"genre_scores_gemma":[0.9217145,0.0008767111,0.06567218,0.001192782,0.0002480866,0.0005722435,0.0009285037,0.0003043344,0.008490644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01143342,"threshold_uncertainty_score":0.0382486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05208572685406805,"score_gpt":0.3614056300493632,"score_spread":0.3093199031952951,"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."}}