{"id":"W2994036840","doi":"10.12688/f1000research.20498.1","title":"Evidence-based Clinical Decision Support Systems for the prediction and detection of three disease states in critical care: A systematic literature review","year":2019,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rijksuniversiteit Groningen; Philips","keywords":"Open peer review; Plant biology; Disease; Medicine; Intensive care medicine; Physiology; Neuroscience; Computer science; Biology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01447377,0.0002984069,0.001183207,0.0003392254,0.0004557588,0.00007850693,0.0006617783,0.000794953,0.00003930332],"category_scores_gemma":[0.04658459,0.0001953806,0.0002625664,0.0004571477,0.0002990272,0.0001747601,0.0006430834,0.003137089,0.00004633576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005167499,"about_ca_system_score_gemma":0.002590716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009109496,"about_ca_topic_score_gemma":0.0008186848,"domain_scores_codex":[0.9890355,0.005061802,0.003082311,0.0008512855,0.001290395,0.0006787488],"domain_scores_gemma":[0.941839,0.05244916,0.0005572554,0.001474094,0.003331229,0.0003492918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0009503636,0.00005461686,0.1235076,0.8700141,0.00002333834,0.00001182226,0.0007303409,0.0004885056,0.000003061625,0.0001653783,0.001088643,0.002962243],"study_design_scores_gemma":[0.0002013964,0.0004858889,0.01438711,0.7747355,0.0002193803,0.000001425049,0.00218211,0.206048,0.000004390114,0.001331645,0.0002345135,0.0001685806],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02848012,0.8875008,0.02639,0.004712609,0.005686897,0.04566653,0.001454631,0.00009453323,0.00001383897],"genre_scores_gemma":[0.7703097,0.2191094,0.0001024572,0.0003060679,0.0005283717,0.009368883,0.000147637,0.00006269106,0.00006478564],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.7418296,"threshold_uncertainty_score":0.9991627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4986198748547599,"score_gpt":0.6202115122777582,"score_spread":0.1215916374229982,"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."}}