{"id":"W4393187912","doi":"10.1117/1.jbo.29.3.035002","title":"Combined frequency domain near-infrared spectroscopy and diffuse correlation spectroscopy system for comprehensive metabolic monitoring of inspiratory muscles during loading","year":2024,"lang":"en","type":"article","venue":"Journal of Biomedical Optics","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Toronto General Hospital; St. Michael's Hospital; University of Toronto","funders":"National Institute of General Medical Sciences; Massachusetts General Hospital; National Institute of Biomedical Imaging and Bioengineering; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital; National Institutes of Health; National Science Foundation","keywords":"Medicine; Biomedical engineering; Mechanical ventilation; Internal medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.0004254563,0.0002496049,0.000857036,0.0004315221,0.0001182806,0.0001155991,0.0001296281,0.0001909404,0.000005163247],"category_scores_gemma":[0.0001933451,0.0001994397,0.0002414084,0.0003815982,0.0004042834,0.0002187285,0.00004512742,0.0006132078,0.000001422044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000234195,"about_ca_system_score_gemma":0.0002314961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005448045,"about_ca_topic_score_gemma":6.792138e-8,"domain_scores_codex":[0.9977393,0.00005528788,0.001028182,0.0002397635,0.0005816935,0.0003558428],"domain_scores_gemma":[0.998485,0.000299246,0.0003440724,0.0001958421,0.0003069012,0.0003689085],"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":[0.0002341947,0.0002443475,0.008907697,0.001747393,0.0003147826,0.0002243166,0.0004242529,0.000001310389,0.9839433,0.003632406,0.0001204075,0.00020557],"study_design_scores_gemma":[0.00926687,0.006493943,0.05649899,0.0104963,0.001749674,0.001241333,0.002130283,0.01169395,0.8934405,0.005644874,0.0007024313,0.0006408315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9528135,0.004466664,0.04056435,0.0004113411,0.001012697,0.0003579957,0.00001841885,0.0001679689,0.0001870818],"genre_scores_gemma":[0.7408034,0.000545639,0.2580003,0.00002037806,0.0005665544,0.000006162846,0.000004279173,0.00004049826,0.00001278076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.217436,"threshold_uncertainty_score":0.8132916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01612449649006694,"score_gpt":0.3034743895021964,"score_spread":0.2873498930121295,"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."}}