{"id":"W2989432717","doi":"10.1016/j.neulet.2019.134607","title":"Using fMRI to investigate the potential cause of inverse oxygenation reported in fNIRS studies of motor imagery","year":2019,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lawson Health Research Institute; Western University","funders":"Canadian Institutes of Health Research","keywords":"Motor imagery; Functional near-infrared spectroscopy; Functional magnetic resonance imaging; Neuroimaging; Neuroscience; Brain activity and meditation; Brain–computer interface; Oxygenation; Psychology; Blood oxygenation; Task (project management); Cognition; Physical medicine and rehabilitation; Electroencephalography; Medicine; Prefrontal cortex; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005730104,0.0003069964,0.0001294132,0.0003166086,0.0002862861,0.0002889638,0.0002987777,0.0006500234,0.001498434],"category_scores_gemma":[0.002405719,0.0001566788,0.0001638628,0.0001550032,0.0005835245,0.0004373158,0.0002031752,0.0007611401,0.0001460228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146251,"about_ca_system_score_gemma":0.0001903267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009984762,"about_ca_topic_score_gemma":0.001784207,"domain_scores_codex":[0.9998844,0.0000308074,0.000007779872,0.00002819233,0.00002797752,0.00002085452],"domain_scores_gemma":[0.9994279,0.0003895698,0.00007504509,0.00004067318,0.00004524851,0.00002151655],"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":[0.000884805,0.0001525245,0.01156107,0.0002069367,0.00006729615,0.003628201,0.0004489156,0.000318066,0.9552953,0.001336273,0.0003706624,0.02572981],"study_design_scores_gemma":[0.0002340593,0.00149591,0.2040226,0.00008177506,0.0002816448,0.02145531,0.0006932939,0.0138982,0.7457345,0.007624229,0.004440541,0.00003789686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9484305,0.0009105109,0.04339383,0.001165588,0.0001218059,0.0001492284,0.00008180113,0.0001287578,0.005617992],"genre_scores_gemma":[0.990864,0.0002314263,0.007690085,0.0002594995,0.00007745787,0.00005684281,0.000039538,0.00002132386,0.0007597455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001498434,"threshold_uncertainty_score":0.005012751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07609084094667663,"score_gpt":0.367078077674686,"score_spread":0.2909872367280094,"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."}}