{"id":"W3089786167","doi":"10.1002/advs.202001860","title":"A Pumpless Microfluidic Neonatal Lung Assist Device for Support of Preterm Neonates in Respiratory Distress","year":2020,"lang":"en","type":"article","venue":"Advanced Science","topic":"Neonatal Respiratory Health Research","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Toronto; McMaster University","keywords":"Respiratory distress; Medicine; Oxygenator; Artificial lung; Respiratory system; Mechanical ventilation; Oxygenation; Extracorporeal membrane oxygenation; Anesthesia; Ventilation (architecture); Lung; Intensive care medicine; Internal medicine; Cardiopulmonary bypass","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009688667,0.0001815531,0.0004167543,0.0002448295,0.0001510973,0.00002392826,0.0006108709,0.00006739454,0.00003801513],"category_scores_gemma":[0.001869744,0.0001698082,0.0000769355,0.001435334,0.0008563932,0.000486608,0.0002133384,0.0003032985,0.000009367798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002483454,"about_ca_system_score_gemma":0.001537391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002122511,"about_ca_topic_score_gemma":0.00001904816,"domain_scores_codex":[0.9970148,0.00004935989,0.0005779312,0.0007293398,0.0008850054,0.0007436085],"domain_scores_gemma":[0.998071,0.000347442,0.0001618378,0.0004082832,0.0004146821,0.0005967178],"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":[0.001303276,0.00007117516,0.02573413,0.0023788,0.000007261104,0.0001282994,0.000632547,0.00001558152,0.8010419,0.0003215438,0.0001447031,0.1682208],"study_design_scores_gemma":[0.00483896,0.001527869,0.05492559,0.0003862908,0.00002049633,0.00001687558,0.0003762452,0.001057005,0.7950273,0.00009574774,0.1413725,0.0003550726],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858782,0.007744733,0.002237526,0.001728012,0.0001134801,0.001749129,0.0001730384,0.00005267066,0.0003231663],"genre_scores_gemma":[0.994605,0.00007832277,0.002036714,0.00299052,0.00005302229,0.0001487177,0.00001443371,0.00002723207,0.0000460124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1678657,"threshold_uncertainty_score":0.692458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06222923115737861,"score_gpt":0.4009337887655549,"score_spread":0.3387045576081763,"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."}}