{"id":"W4323038305","doi":"10.1117/1.nph.10.2.023517","title":"Functional near-infrared spectroscopy in pediatric clinical research: Different pathophysiologies and promising clinical applications","year":2023,"lang":"en","type":"article","venue":"Neurophotonics","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Functional near-infrared spectroscopy; Neuroimaging; Cognition; Software portability; Neuroscience; Psychology; Medicine; Computer science; Prefrontal cortex","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":[0.001131321,0.0001743193,0.0003350428,0.0002068278,0.0003027348,0.0001935451,0.000385472,0.0001403916,0.00001499455],"category_scores_gemma":[0.001652665,0.0001464582,0.0001157021,0.0009850807,0.0004657218,0.0001005265,0.0005475921,0.001140186,0.0001923453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002588268,"about_ca_system_score_gemma":0.0001265879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002307994,"about_ca_topic_score_gemma":0.000002749579,"domain_scores_codex":[0.9966219,0.000741364,0.000704902,0.00100763,0.0004110522,0.0005131527],"domain_scores_gemma":[0.9952427,0.003960704,0.0001170447,0.0004787793,0.00005455297,0.0001462572],"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":[0.001195408,0.003139676,0.3393513,0.0004263785,0.00002548261,0.000704429,0.0008298787,0.0008693885,0.5820478,0.00259067,0.03903281,0.02978682],"study_design_scores_gemma":[0.001349004,0.001039749,0.9323281,0.00003251986,0.0000132017,0.00001936333,0.00005684344,0.02795846,0.01865095,0.007906543,0.01029037,0.0003548791],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973511,0.0000702595,0.00006283516,0.0004648663,0.0007240269,0.0005891143,0.00001320858,0.0002304767,0.0004941846],"genre_scores_gemma":[0.9936965,0.004354003,0.000415273,0.0005186226,0.0004377219,0.0001204503,0.000005082772,0.00003313713,0.0004192565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5929768,"threshold_uncertainty_score":0.5972391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2161684658007239,"score_gpt":0.4242472217906122,"score_spread":0.2080787559898883,"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."}}