{"id":"W4390587513","doi":"10.3390/jcm13010282","title":"Functional Near-Infrared Spectrometry as a Useful Diagnostic Tool for Understanding the Visual System: A Review","year":2024,"lang":"en","type":"review","venue":"Journal of Clinical Medicine","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Eye Institute; National Institutes of Health; Research to Prevent Blindness","keywords":"Context (archaeology); Medicine; Human–computer interaction; Data science; Cognitive science; Computer science; Psychology","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":[0.001049272,0.001033064,0.001509119,0.003945403,0.0003665705,0.001376617,0.000988287,0.001524166,0.003850887],"category_scores_gemma":[0.002033417,0.0003355678,0.0009471627,0.002887731,0.0006730962,0.001964591,0.0007492069,0.001659508,0.001746163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007993025,"about_ca_system_score_gemma":0.00201947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00169551,"about_ca_topic_score_gemma":0.002293804,"domain_scores_codex":[0.9996256,0.00007859285,0.0000660125,0.00007225565,0.0001290617,0.0000284633],"domain_scores_gemma":[0.9987653,0.0007964859,0.0001125429,0.00002728207,0.0002533305,0.00004504432],"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":[0.00005474205,0.0000495841,0.0003110086,0.04243986,0.0001952697,0.0002712701,0.00009967695,0.0003225607,0.002065,0.003446847,0.02453144,0.9262128],"study_design_scores_gemma":[0.00001166089,0.0001198461,0.001382913,0.01214955,0.0003794545,0.002549791,0.0001185516,0.0001774129,0.001085048,0.00283892,0.9791358,0.00005100562],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007236624,0.998642,0.0002195189,0.0002467837,0.0001718537,0.000004172814,0.00001560822,0.000006872167,0.0006208083],"genre_scores_gemma":[0.0005671485,0.99852,0.0003091455,0.0001735891,0.0001519716,0.000006916778,0.00002437924,0.000001973305,0.0002449823],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003945403,"threshold_uncertainty_score":0.01288247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2109056323872673,"score_gpt":0.5266337098877423,"score_spread":0.3157280775004749,"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."}}