{"id":"W4404097343","doi":"10.1183/13993003.congress-2024.pa4133","title":"Continuous measurements of respiratory muscle blood flow and oxygen consumption using non-invasive frequency domain near-infrared spectroscopy and diffuse correlation spectroscopy","year":2024,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; St. Michael's Hospital","funders":"","keywords":"Spectroscopy; Frequency domain; Infrared spectroscopy; Blood flow; Oxygen; Materials science; Near-infrared spectroscopy; Nuclear magnetic resonance; Analytical Chemistry (journal); Biomedical engineering; Chemistry; Optics; Physics; Medicine; Internal medicine; Computer science","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":[0.0002771172,0.0003142788,0.0003466166,0.0002008787,0.0001208344,0.0001861423,0.00009146951,0.0001530466,0.0000451976],"category_scores_gemma":[0.00005949623,0.0003306249,0.00006064731,0.0002363931,0.0001439093,0.0004599052,0.00005331082,0.0002390014,0.0000134801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827993,"about_ca_system_score_gemma":0.00006936306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007310745,"about_ca_topic_score_gemma":0.00003293492,"domain_scores_codex":[0.9984187,0.00005438102,0.0004389436,0.0004049256,0.0003195944,0.000363434],"domain_scores_gemma":[0.9993321,0.0001352935,0.00006578465,0.0002480249,0.00007252538,0.0001462549],"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":[0.000008918215,0.00002871069,0.08336825,0.0003703702,0.0001313428,0.00003058013,0.0005102205,0.0002083838,0.915124,0.00005251077,0.00004840494,0.0001183167],"study_design_scores_gemma":[0.001587536,0.0002199346,0.0329751,0.000653537,0.0001914887,0.00002420605,0.0001403535,0.005114252,0.95699,0.001611827,0.00001634648,0.0004754002],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601325,0.00319119,0.03382702,0.000005106048,0.0006763991,0.0004884316,0.00002516743,0.0002395719,0.001414549],"genre_scores_gemma":[0.9347516,0.000150419,0.06479508,0.00001280361,0.0001743501,0.00001707819,0.000007126568,0.00007774475,0.00001378826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05039315,"threshold_uncertainty_score":0.9999146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146350044271362,"score_gpt":0.2436382540468462,"score_spread":0.2221747536041326,"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."}}