{"id":"W1502714740","doi":"10.1113/expphysiol.2007.037572","title":"Interaction between genioglossus and diaphragm responses to transcranial magnetic stimulation in awake humans","year":2007,"lang":"en","type":"article","venue":"Experimental Physiology","topic":"Neuroscience of respiration and sleep","field":"Neuroscience","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"Canadian Institutes of Health Research; Chancellerie des Universités de Paris; China Medical University","keywords":"Genioglossus; Stimulation; Medicine; Diaphragm (acoustics); Transcranial magnetic stimulation; Electromyography; Anesthesia; Respiratory system; Neuroscience; Anatomy; Psychology; Airway; Internal medicine; Physical medicine and rehabilitation; Physics","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":[0.00009627972,0.0002936322,0.0002156202,0.0001302706,0.0001096919,0.0001703724,0.00007612309,0.0002895222,0.001140912],"category_scores_gemma":[0.0005058265,0.0001222351,0.0001008839,0.00005879203,0.0003871569,0.00008981635,0.000151857,0.0001544781,0.0001498998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001005881,"about_ca_system_score_gemma":0.00009225481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006435589,"about_ca_topic_score_gemma":0.00117561,"domain_scores_codex":[0.999935,0.00001699092,0.000003253949,0.00002256516,0.00001184005,0.00001035515],"domain_scores_gemma":[0.9998661,0.00006373106,0.00002932265,0.000009081471,0.00000960838,0.00002206512],"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":[0.008382002,0.000259507,0.3298232,0.0005673839,0.000284958,0.005116086,0.001589761,0.0006176473,0.583369,0.0001543637,0.0006181847,0.06921788],"study_design_scores_gemma":[0.00003387094,0.001092915,0.9941763,0.000008452052,0.00003573495,0.001703816,0.0001090989,0.0001585211,0.002354822,0.00003779874,0.0002827939,0.000005867835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988185,0.0004053946,0.0002713159,0.00001932492,0.000004506874,0.000008739262,0.00005463425,0.000008438302,0.0004090874],"genre_scores_gemma":[0.9993667,0.0001639862,0.0001919099,0.00003851678,0.00001257792,0.00001220455,0.00007606007,0.000002866554,0.0001352473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001140912,"threshold_uncertainty_score":0.003816783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04483542072608197,"score_gpt":0.352609509646196,"score_spread":0.307774088920114,"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."}}