{"id":"W2908309008","doi":"10.2196/13006","title":"The Connected Intensive Care Unit Patient: Exploratory Analyses and Cohort Discovery From a Critical Care Telemedicine Database","year":2018,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; University of Arizona; National Institutes of Health; National Science Foundation","keywords":"Telemedicine; Intensive care unit; Medicine; Medical emergency; Database; Health care; Computer science; Intensive care medicine","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":[0.0193945,0.0005426094,0.00068125,0.004444024,0.0009981385,0.001496214,0.001720175,0.0009289082,0.001112952],"category_scores_gemma":[0.0477831,0.0003702593,0.001917601,0.003941648,0.0008096691,0.001032879,0.002227752,0.001214404,0.0002400889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006869609,"about_ca_system_score_gemma":0.001959825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006350977,"about_ca_topic_score_gemma":0.007954868,"domain_scores_codex":[0.98724,0.007378577,0.001224134,0.002126378,0.001403206,0.0006276274],"domain_scores_gemma":[0.9432812,0.04075987,0.006952951,0.005584024,0.002405271,0.001016661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004707691,0.000396007,0.9801979,0.0003640147,0.001216778,0.0008443219,0.001183244,0.001464644,0.0005678194,0.0008014188,0.002305351,0.01018777],"study_design_scores_gemma":[0.0003209765,0.001144734,0.9392619,0.0004977331,0.002266079,0.002475169,0.00543897,0.0373363,0.001525684,0.002459419,0.007156544,0.0001164762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801635,0.0005095066,0.00693864,0.0006420719,0.00002243474,0.0004603312,0.01076691,0.00006342766,0.0004331221],"genre_scores_gemma":[0.9660999,0.0001634166,0.01965246,0.0002407847,0.00004513859,0.0007734007,0.01289806,0.00002126352,0.0001055418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0193945,"threshold_uncertainty_score":0.1025692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06434333467749405,"score_gpt":0.4172304671747285,"score_spread":0.3528871324972345,"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."}}