{"id":"W2168939089","doi":"10.1139/h11-095","title":"Repetitive magnetic stimulation of the phrenic nerves for diaphragm conditioning: a normative study of feasibility and optimal settings","year":2011,"lang":"en","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Respiratory Support and Mechanisms","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"","keywords":"Diaphragm (acoustics); Stimulation; Conditioning; Phrenic nerve; Medicine; Diaphragm muscle; Anesthesia; Muscle contraction; Functional electrical stimulation; Internal medicine; Respiratory system; Mathematics; Physics; Acoustics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00256652,0.0003722855,0.0002484723,0.0003281335,0.0002580637,0.0002107321,0.0002524066,0.0004181877,0.002037392],"category_scores_gemma":[0.005099978,0.0001404327,0.0001943625,0.0001275519,0.0006759971,0.0002309593,0.0003026235,0.0002133555,0.0002842111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001206285,"about_ca_system_score_gemma":0.0002553188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004868028,"about_ca_topic_score_gemma":0.0007588023,"domain_scores_codex":[0.9991228,0.000491132,0.00007639571,0.0001169256,0.0001497854,0.00004300785],"domain_scores_gemma":[0.9981139,0.00112105,0.0001350736,0.0002263218,0.0002867784,0.0001169596],"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":[0.02360636,0.006710007,0.2000832,0.0007124251,0.0002463722,0.0009219667,0.001651375,0.001585984,0.5982085,0.0006941453,0.0003789489,0.1652007],"study_design_scores_gemma":[0.0008665835,0.09095276,0.8121062,0.00005631649,0.0003088707,0.00347143,0.0007351468,0.003807118,0.08495963,0.0004695134,0.002216903,0.00004949366],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961494,0.0002558583,0.002397031,0.00002214512,0.000005506137,0.0001141579,0.00003506627,0.00001263295,0.00100819],"genre_scores_gemma":[0.9980884,0.00007061621,0.00151838,0.00001572514,0.000009517863,0.00007446078,0.00005923174,0.000004230496,0.0001594931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00256652,"threshold_uncertainty_score":0.01357317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03161137221758235,"score_gpt":0.2733241658366003,"score_spread":0.2417127936190179,"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."}}