{"id":"W3092259156","doi":"10.4187/respcare.20193239375","title":"Synchronous Diaphragm Contraction Via Electrophrenic Transvenous Neurostimulation Respiration During Mechanical Ventilation Decreases Peak Inspiratory Pressure and Improves Dynamic Compliance in Non-Injured Lungs","year":2019,"lang":"en","type":"article","venue":"Respiratory Care","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lungpacer Medical (Canada); Simon Fraser University; Fraser Health","funders":"","keywords":"Tidal volume; Medicine; Anesthesia; Diaphragm (acoustics); Peak inspiratory pressure; Respiration; Mechanical ventilation; Contraction (grammar); Pulmonary compliance; Respiratory minute volume; Ventilation (architecture); Lung; Lung volumes; Compliance (psychology); Respiratory system; Internal medicine; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002608513,0.000427041,0.0006405862,0.0004206739,0.0002031933,0.00006775596,0.0001249915,0.0003997529,0.00006232612],"category_scores_gemma":[0.00007359732,0.0004542805,0.0001644751,0.0003616492,0.00005489387,0.0005868867,0.00003863442,0.00053991,0.0000316447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003293726,"about_ca_system_score_gemma":0.000291463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004273636,"about_ca_topic_score_gemma":0.0001441917,"domain_scores_codex":[0.9971849,0.0001678193,0.000746994,0.0008684713,0.000498212,0.0005335562],"domain_scores_gemma":[0.9985424,0.00005956852,0.0003146196,0.0005637872,0.0002532282,0.0002663901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001745343,0.0001398675,0.007569972,0.0008699654,0.00005127839,0.00007944914,0.0003114252,0.0001957024,0.9673157,0.0000321799,0.000004387435,0.02168473],"study_design_scores_gemma":[0.007918676,0.003074971,0.702116,0.0005892044,0.0004259689,0.00008412058,0.0002741895,0.008670484,0.2730273,0.00006236791,0.002992974,0.0007637442],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930235,0.003416753,0.0006870968,0.00002854854,0.0003134839,0.002232683,0.00001877535,0.0001536733,0.0001255099],"genre_scores_gemma":[0.9988706,0.00004364768,0.000116234,0.0004364248,0.0001473848,0.0001148695,0.0001043238,0.00009136974,0.00007514928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.694546,"threshold_uncertainty_score":0.9997909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007321990702979732,"score_gpt":0.2571976223579415,"score_spread":0.2498756316549617,"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."}}