{"id":"W3164128247","doi":"10.2196/20407","title":"The Clinical Decision Support System AMPEL for Laboratory Diagnostics: Implementation and Technical Evaluation","year":2021,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical decision support system; Computer science; Decision support system; Medical emergency; Health informatics; Health care; Medicine; Medical physics; Artificial intelligence; Public health; Nursing","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":[0.009742266,0.00114009,0.0005687949,0.001210646,0.0004292044,0.002475619,0.003016281,0.001299429,0.007634193],"category_scores_gemma":[0.02450607,0.0006164769,0.0005728263,0.0005365141,0.0008260384,0.002383866,0.002385644,0.001501119,0.002590692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009821408,"about_ca_system_score_gemma":0.002346942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146691,"about_ca_topic_score_gemma":0.0005509815,"domain_scores_codex":[0.9939626,0.002419975,0.0006647414,0.0008128585,0.001790944,0.0003488549],"domain_scores_gemma":[0.9867004,0.006934843,0.0006509232,0.001917595,0.002775493,0.001020781],"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":[0.006488779,0.00308022,0.03342248,0.002830864,0.0005606829,0.002259866,0.00212509,0.09561828,0.05595349,0.008879986,0.04031474,0.7484655],"study_design_scores_gemma":[0.003045597,0.005166796,0.01957478,0.0008640253,0.0004457073,0.002279623,0.0006264368,0.7243129,0.109688,0.006422136,0.127144,0.0004299865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3032473,0.001572479,0.5731602,0.003734795,0.0007453481,0.004807803,0.002972962,0.09887327,0.010886],"genre_scores_gemma":[0.4398698,0.0005727357,0.5477557,0.001023105,0.0001663999,0.001536586,0.003961638,0.001538289,0.003575852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009742266,"threshold_uncertainty_score":0.05152261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08220354098883886,"score_gpt":0.5594160020215506,"score_spread":0.4772124610327118,"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."}}