{"id":"W4401609979","doi":"10.1016/j.neuroimage.2024.120793","title":"A comprehensive overview of diffuse correlation spectroscopy: Theoretical framework, recent advances in hardware, analysis, and applications","year":2024,"lang":"en","type":"review","venue":"NeuroImage","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Engineering and Physical Sciences Research Council","keywords":"Domain (mathematical analysis); Computer science; Deep learning; Field (mathematics); Component (thermodynamics); Systems engineering; Diode; Computer architecture; Data science; Artificial intelligence; Engineering; Electrical engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001263238,0.001341796,0.0009359666,0.002725326,0.000454526,0.002091882,0.00149844,0.001875753,0.005700315],"category_scores_gemma":[0.001997883,0.000802683,0.001050726,0.00270678,0.001050563,0.003362083,0.001157114,0.002324376,0.002752315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001195695,"about_ca_system_score_gemma":0.001360524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001502527,"about_ca_topic_score_gemma":0.00133212,"domain_scores_codex":[0.9993826,0.0001296096,0.00005151219,0.0001382415,0.0002530153,0.00004504114],"domain_scores_gemma":[0.9991121,0.0004886909,0.00008271608,0.00008060847,0.0001984222,0.00003755069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001315065,0.0001582157,0.001668231,0.01047076,0.0001848386,0.0004505496,0.0002574078,0.03414503,0.02858621,0.2464327,0.04721712,0.6302975],"study_design_scores_gemma":[0.00002559167,0.0003640584,0.001443723,0.002424466,0.0001765517,0.002272468,0.0001596346,0.1615439,0.02223867,0.1762558,0.6328174,0.0002777727],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.003618953,0.3797863,0.5885261,0.00311336,0.001024919,0.0001176141,0.000834736,0.0009858657,0.02199216],"genre_scores_gemma":[0.07489765,0.5703259,0.3321749,0.002768055,0.003180267,0.0005513091,0.002123933,0.0006722032,0.01330586],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.005700315,"threshold_uncertainty_score":0.01906949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04140668270249926,"score_gpt":0.4149155848001018,"score_spread":0.3735089020976025,"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."}}