{"id":"W2805309207","doi":"10.1097/01.pcc.0000537529.29851.c6","title":"Abstract P-072: VITALPAD: DESIGNING A MOBILE MONITORING AND COMMUNICATION APPLICATION TO SUPPORT PEDIATRIC INTENSIVE CARE IN A NEWLY DESIGNED ACADEMIC ACUTE CARE CENTRE","year":2018,"lang":"en","type":"article","venue":"Pediatric Critical Care Medicine","topic":"Healthcare Technology and Patient Monitoring","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Medicine; Multidisciplinary approach; Medical emergency; Pediatric intensive care unit; Multidisciplinary team; Intensive care unit; Nursing; Intensive care medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00129965,0.00086129,0.0002622593,0.0003671029,0.0005617865,0.001425769,0.001301515,0.0009683141,0.007545694],"category_scores_gemma":[0.003042402,0.0004003017,0.0003775132,0.0001773076,0.0004972036,0.001321377,0.001648878,0.0006433244,0.001337744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004420153,"about_ca_system_score_gemma":0.0008591151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006272679,"about_ca_topic_score_gemma":0.0007946433,"domain_scores_codex":[0.9992843,0.00033599,0.00004988952,0.00009896334,0.0001396612,0.0000911613],"domain_scores_gemma":[0.9986744,0.0006186918,0.0000712783,0.00008542341,0.0002385154,0.0003117735],"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":[0.002075666,0.00253786,0.0214875,0.005923241,0.0001040786,0.008354125,0.02876202,0.007921623,0.2872115,0.003528826,0.06028322,0.5718103],"study_design_scores_gemma":[0.001452026,0.02829652,0.07958715,0.001938775,0.0005660276,0.01710664,0.02148061,0.07250203,0.2172778,0.002728841,0.5564092,0.0006543488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7715198,0.001058359,0.1920983,0.00194612,0.0005488673,0.00478511,0.001250373,0.007810535,0.01898245],"genre_scores_gemma":[0.6317762,0.0006889024,0.3431805,0.0009513664,0.0001125,0.002292977,0.001258907,0.0008079399,0.01893069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007545694,"threshold_uncertainty_score":0.02524281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02965545910497735,"score_gpt":0.3804811414615134,"score_spread":0.350825682356536,"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."}}