{"id":"W7133021339","doi":"","title":"Developing a NITROglycerin Dose Titration Decision Support System (NITRO DSS)","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Heart Association","keywords":"Nitroglycerin (drug); Blood pressure; Clinical decision support system; Decision support system; Angina; Clinical Practice","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":[0.008922217,0.0006125368,0.0003336367,0.0008750444,0.0006112226,0.001241914,0.00121214,0.0007358982,0.003309444],"category_scores_gemma":[0.01798766,0.0003685893,0.0005632983,0.0004846407,0.0003949178,0.001260804,0.001259815,0.0007579824,0.0005638395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0013714,"about_ca_system_score_gemma":0.004152216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00127455,"about_ca_topic_score_gemma":0.001306748,"domain_scores_codex":[0.9953796,0.002734174,0.0004792063,0.0004331389,0.000818166,0.0001556693],"domain_scores_gemma":[0.981333,0.01265796,0.001006967,0.000588547,0.003721641,0.0006919538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002420057,0.003701323,0.02470011,0.003819294,0.0002210957,0.0006760044,0.008430932,0.03940659,0.05233507,0.007012355,0.00989921,0.847378],"study_design_scores_gemma":[0.002863554,0.01444251,0.03228698,0.002835463,0.0008187227,0.001058478,0.01127689,0.6878244,0.1136664,0.01178833,0.1205631,0.000575069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.357364,0.0005033326,0.6028371,0.002770517,0.0003341825,0.01815112,0.001744273,0.004272334,0.01202318],"genre_scores_gemma":[0.2157686,0.0001596587,0.7780241,0.0002830641,0.00002599297,0.00374246,0.0005262017,0.00004132484,0.001428539],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008922217,"threshold_uncertainty_score":0.04718578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08470153251544647,"score_gpt":0.492255857994536,"score_spread":0.4075543254790895,"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."}}