{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001270321,0.0001179036,0.0001374816,0.0002246096,0.0001149912,0.00002932122,0.0001141425,0.00005027399,0.00009154886],"category_scores_gemma":[0.00008568017,0.0001178996,0.00002916287,0.0002277918,0.0001329824,0.0001889065,0.00004011791,0.0001064559,0.00003710332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004234334,"about_ca_system_score_gemma":0.000008974777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002524557,"about_ca_topic_score_gemma":0.00001061345,"domain_scores_codex":[0.9988288,0.0001360293,0.0002258076,0.0004179584,0.0001350252,0.0002563516],"domain_scores_gemma":[0.9995223,0.0002199311,0.00003712367,0.0001163597,0.000007270288,0.00009703646],"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":[0.0001667624,0.00007398614,0.001453925,0.000001470036,3.170106e-7,0.000009241704,0.0007338778,0.00003457121,0.994753,0.00024008,0.000009808132,0.002522972],"study_design_scores_gemma":[0.0004079359,0.0003428652,0.4242911,0.000003063657,0.000001037991,0.000003723255,0.0001413201,0.00007720525,0.57396,0.00007160445,0.0006071312,0.00009299565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986309,0.00002388466,0.0001302133,0.0001272263,0.0003044026,0.000275374,0.000004696467,0.00003720422,0.0004661302],"genre_scores_gemma":[0.9987485,0.000002887654,0.00008476347,0.0009512341,0.0001092778,0.00001353885,0.00000182516,0.00001000896,0.00007799781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4228372,"threshold_uncertainty_score":0.4807806,"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."}}