{"id":"W2002925956","doi":"10.3389/fnhum.2014.00739","title":"Pediatric stroke and transcranial direct current stimulation: methods for rational individualized dose optimization","year":2014,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"National Institute of Neurological Disorders and Stroke; Clinical and Translational Science Institute, University of Minnesota; Air Force Research Laboratory; National Institutes of Health; U.S. Department of Defense; University of Minnesota; National Center for Advancing Translational Sciences; Wallace H. Coulter Foundation","keywords":"Transcranial direct-current stimulation; Tolerability; Medicine; Stroke (engine); Dosing; Post-hoc analysis; Brain stimulation; Adverse effect; Clinical trial; Physical medicine and rehabilitation; Stimulation; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007193941,0.000231863,0.0003235718,0.0004231905,0.0005655474,0.0001480574,0.0003115188,0.00006070369,0.00001909648],"category_scores_gemma":[0.00158289,0.0002376384,0.00007077972,0.0006648332,0.0003471379,0.0003883996,0.00004638857,0.0001553439,3.350962e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003314511,"about_ca_system_score_gemma":0.00004070829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002171679,"about_ca_topic_score_gemma":0.000001507883,"domain_scores_codex":[0.997455,0.0004751337,0.0004755452,0.0008295436,0.0004011192,0.0003636483],"domain_scores_gemma":[0.9988619,0.000619504,0.0001529201,0.0002004014,0.00005921948,0.000106061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003959219,0.0004763179,0.04350855,0.0001820148,0.000003510494,0.000002184945,0.002068564,0.748712,0.1355041,0.006263983,0.001134192,0.06174867],"study_design_scores_gemma":[0.005058861,0.0004027012,0.08094604,0.00001236657,0.00005406486,0.000002930121,0.00001504319,0.9043761,0.0009648685,0.002384323,0.005357556,0.0004251126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03600949,0.0001903369,0.9598414,0.000157275,0.002185355,0.0009220932,0.00004507958,0.00009799983,0.0005509407],"genre_scores_gemma":[0.8602881,0.00008395865,0.1389153,0.000236559,0.0002033159,0.0001278653,0.000005359927,0.00002480847,0.0001147036],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8242787,"threshold_uncertainty_score":0.9690613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05532527438624212,"score_gpt":0.3632742920721929,"score_spread":0.3079490176859508,"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."}}