{"id":"W2409061225","doi":"10.1055/s-0035-1569998","title":"Perpetual and Virtual Patients for Cardiorespiratory Physiological Studies","year":2015,"lang":"en","type":"review","venue":"Journal of Pediatric Intensive Care","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Cardiorespiratory fitness; Medicine; Informatics; Risk analysis (engineering); Computational model; Reliability (semiconductor); Intensive care medicine; Clinical Practice; Fidelity; Computer science; Artificial intelligence; Engineering; Physical therapy","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":[0.002101511,0.000981364,0.001223351,0.002846555,0.0003425232,0.001952577,0.001503967,0.001647285,0.004536765],"category_scores_gemma":[0.004928681,0.000336445,0.001074147,0.001954542,0.001094305,0.002109768,0.001663311,0.001908927,0.002039227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005674401,"about_ca_system_score_gemma":0.001350143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127211,"about_ca_topic_score_gemma":0.001386439,"domain_scores_codex":[0.998934,0.0004258889,0.0001384707,0.0001119073,0.0003587781,0.00003093289],"domain_scores_gemma":[0.9973672,0.001995755,0.0002195042,0.000116309,0.000230041,0.00007123104],"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":[0.00007153347,0.0001191166,0.0008391076,0.01948295,0.0001476939,0.000325717,0.000316274,0.001551509,0.001200973,0.01946583,0.0194853,0.936994],"study_design_scores_gemma":[0.00002740109,0.0001532262,0.002300996,0.01554852,0.0002518811,0.004951053,0.0003390462,0.001462403,0.001543352,0.01224821,0.9610938,0.00008020594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006007859,0.987931,0.005528859,0.0007300966,0.0004677408,0.00006229482,0.00008481513,0.00006549557,0.004528939],"genre_scores_gemma":[0.008204084,0.9809238,0.008221942,0.0005808519,0.0004242634,0.0001264079,0.0001563813,0.00002805822,0.001334223],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004536765,"threshold_uncertainty_score":0.01517701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1529692394840539,"score_gpt":0.4282734558765666,"score_spread":0.2753042163925127,"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."}}