{"id":"W2944710603","doi":"10.3389/fneur.2019.00476","title":"Using Functional Near-Infrared Spectroscopy to Study the Effect of Repetitive Transcranial Magnetic Stimulation in Concussion: A Two-Patient Case Study","year":2019,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Migraine and Headache Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; Ontario Brain Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Transcranial magnetic stimulation; Functional near-infrared spectroscopy; Concussion; Physical medicine and rehabilitation; Haemodynamic response; Medicine; Psychology; Irritability; Traumatic brain injury; Nausea; Audiology; Physical therapy; Anxiety; Prefrontal cortex; Cognition; Anesthesia; Psychiatry; Stimulation; Poison control; Neuroscience; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003556582,0.0001566667,0.0005082145,0.0001949414,0.0000634786,0.000004893748,0.00004941743,0.0000498297,0.00009516552],"category_scores_gemma":[0.00009636515,0.0001077896,0.00006010681,0.000345317,0.0000700596,0.00002770896,0.000042657,0.0003131301,0.00000281724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000408351,"about_ca_system_score_gemma":0.00004584015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005820311,"about_ca_topic_score_gemma":0.0004484325,"domain_scores_codex":[0.9982638,0.0005903255,0.0003743777,0.000344953,0.0002084465,0.0002180736],"domain_scores_gemma":[0.9994202,0.0001873753,0.00006456707,0.0002475084,0.0000388075,0.00004152006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006972605,0.0004880514,0.9740291,0.00001860306,0.00005560272,0.00148821,0.01317604,0.002032203,0.0009660036,0.000001188144,0.0004143174,0.0003580614],"study_design_scores_gemma":[0.01632145,0.05710452,0.9072505,0.00002309089,0.000253922,0.0004221854,0.008746657,0.009412273,0.0002030156,0.00002173391,0.0001070294,0.0001335872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950207,0.0001276516,0.0001857175,0.0002702588,0.000345697,0.003802888,0.000003029993,0.00001066481,0.0002334272],"genre_scores_gemma":[0.9991739,0.000001391732,0.0003588258,0.0002621717,0.00005635965,0.00006968914,0.00000173811,0.00001437667,0.00006151397],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06677859,"threshold_uncertainty_score":0.4395534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659840148091016,"score_gpt":0.302354855642029,"score_spread":0.2857564541611188,"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."}}