{"id":"W3008616252","doi":"10.1101/2020.02.22.961102","title":"A Pumpless Microfluidic Neonatal Lung Assist Device for Support of Preterm Neonates in Respiratory Distress","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; McMaster University","keywords":"Respiratory distress; Medicine; Oxygenator; Artificial lung; Respiratory system; Mechanical ventilation; Extracorporeal membrane oxygenation; Oxygenation; Intensive care medicine; Lung; Ventilation (architecture); Anesthesia; Internal medicine; Cardiopulmonary bypass","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.000186076,0.0002058001,0.0001944399,0.000141201,0.0001398864,0.0002538909,0.0002759452,0.0003097635,0.000581765],"category_scores_gemma":[0.0002223935,0.00008830073,0.0001643009,0.00005555686,0.000140017,0.0001683525,0.0002763241,0.0001584902,0.0001572876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001392712,"about_ca_system_score_gemma":0.0002055712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001363544,"about_ca_topic_score_gemma":0.0001700179,"domain_scores_codex":[0.9999194,0.00001604923,0.00000765399,0.00002212851,0.0000232999,0.00001158626],"domain_scores_gemma":[0.9999131,0.0000224134,0.0000277714,0.000009063381,0.0000111624,0.00001642372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004174792,0.00001719279,0.0004871748,0.00007308648,0.00000480322,0.0001741411,0.00002220917,0.0001331974,0.9937308,0.0001103229,0.0001725325,0.00503287],"study_design_scores_gemma":[0.00003897014,0.0009159254,0.005943257,0.00003145304,0.00004694464,0.001280128,0.00005232131,0.005884905,0.9738408,0.0000906566,0.01185063,0.00002406846],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9386357,0.005238352,0.05251827,0.000652389,0.0005000955,0.0001252675,0.0005260437,0.0004754771,0.001328367],"genre_scores_gemma":[0.964222,0.001065644,0.03264445,0.0002327999,0.00005612019,0.00009858722,0.0001382299,0.00001272526,0.001529431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000581765,"threshold_uncertainty_score":0.001946211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04890370711735918,"score_gpt":0.3283892942686324,"score_spread":0.2794855871512733,"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."}}