{"id":"W2620358904","doi":"10.1016/j.resp.2017.05.011","title":"Reliability of the diaphragmatic compound muscle action potential evoked by cervical magnetic stimulation and recorded via chest wall surface EMG","year":2017,"lang":"en","type":"article","venue":"Respiratory Physiology & Neurobiology","topic":"Neuroscience of respiration and sleep","field":"Neuroscience","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compound muscle action potential; Intraclass correlation; Diaphragmatic breathing; Medicine; Diaphragm (acoustics); Phrenic nerve; Stimulation; Electromyography; Reproducibility; Lumbosacral joint; Anatomy; Anesthesia; Electrophysiology; Cardiology; Respiratory system; Internal medicine; Physical medicine and rehabilitation; Chemistry; Pathology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001768016,0.0003274906,0.0003565137,0.0006366097,0.0001948679,0.0005210087,0.0003761327,0.0007364724,0.001663917],"category_scores_gemma":[0.0187227,0.0001479324,0.0002490169,0.0002683055,0.0004890297,0.0004277743,0.000518754,0.0004461854,0.0007299195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001988626,"about_ca_system_score_gemma":0.0002383205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001826084,"about_ca_topic_score_gemma":0.002007918,"domain_scores_codex":[0.9982764,0.000408788,0.000220386,0.0004197061,0.0005419299,0.000132838],"domain_scores_gemma":[0.988967,0.005420022,0.0009114252,0.001079061,0.003239593,0.0003829217],"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":[0.007512861,0.0001249397,0.4281553,0.0006334916,0.0006021602,0.0009002957,0.001154353,0.00246131,0.4729425,0.0006140836,0.001113823,0.08378487],"study_design_scores_gemma":[0.00002813907,0.0007864565,0.9709151,0.00003717965,0.0001047028,0.001263404,0.0001448655,0.004300659,0.02130155,0.0001964044,0.0008971014,0.00002427077],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790127,0.001290051,0.01399869,0.0001255659,0.0002018721,0.00010211,0.001153864,0.0001592565,0.003955785],"genre_scores_gemma":[0.9982791,0.00009387089,0.0007684617,0.00003946073,0.00005514855,0.00001398808,0.000341702,0.0000162167,0.0003921768],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001826084,"threshold_uncertainty_score":0.0093503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03077020260206146,"score_gpt":0.2796882632861997,"score_spread":0.2489180606841383,"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."}}