{"id":"W2946548094","doi":"10.1111/jce.14001","title":"How to deliver personalized cardiac resynchronization therapy through the precise measurement of the acute hemodynamic response: Insights from the iSpot trial","year":2019,"lang":"en","type":"article","venue":"Journal of Cardiovascular Electrophysiology","topic":"Cardiac pacing and defibrillation studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Thomas Hospital","funders":"British Heart Foundation; National Institute for Health and Care Research","keywords":"Medicine; Cardiac resynchronization therapy; Cardiology; Hemodynamics; Internal medicine; Blood pressure; Heart failure; Ejection fraction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009872011,0.0002142266,0.001198906,0.00006010865,0.0001834675,0.00002882652,0.0001636119,0.0001098409,0.0000040532],"category_scores_gemma":[0.0004413391,0.00009256716,0.002448898,0.0004207738,0.0001571936,0.00008116556,0.00007091095,0.0003446664,0.000005310606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002538168,"about_ca_system_score_gemma":0.0003163806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004943337,"about_ca_topic_score_gemma":0.000001549192,"domain_scores_codex":[0.9959644,0.001824385,0.0004323076,0.0002418359,0.001308759,0.0002282912],"domain_scores_gemma":[0.9971714,0.0004147946,0.0003665326,0.000889954,0.001112166,0.00004516691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.1362181,0.00007611414,0.0001443759,0.0000164036,0.03367913,0.000009608996,0.003604637,0.005150611,0.811049,0.0001165764,0.004978073,0.004957373],"study_design_scores_gemma":[0.08102021,0.008789686,0.1367531,0.0004448598,0.0105534,0.0005393511,0.002038272,0.0001359889,0.07049397,0.001045997,0.6874834,0.0007017179],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503528,0.0433946,0.001724724,0.002233225,0.001001777,0.001126715,0.000009035349,0.000008696276,0.0001484403],"genre_scores_gemma":[0.9944196,0.00405232,0.0000910341,0.0003218095,0.0009500045,0.0000153098,0.000002783683,0.0000255577,0.0001215845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.740555,"threshold_uncertainty_score":0.3774779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01582956247806964,"score_gpt":0.2453658746906327,"score_spread":0.2295363122125631,"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."}}