{"id":"W2114441144","doi":"10.3389/fnsys.2011.00008","title":"Functional Connectivity in Relation to Motor Performance and Recovery After Stroke","year":2011,"lang":"en","type":"article","venue":"Frontiers in Systems Neuroscience","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":132,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Deafness and Other Communication Disorders; Canadian Institutes of Health Research; American Heart Association; National Institutes of Health; National Science Foundation","keywords":"Functional connectivity; Neuroscience; Stroke (engine); Relation (database); Physical medicine and rehabilitation; Psychology; Cognitive psychology; Medicine; Computer science; Physics; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006224436,0.0001907121,0.0002557229,0.0005546642,0.00016246,0.00006053725,0.0001925792,0.00007011499,0.000005005998],"category_scores_gemma":[0.003640316,0.0001932802,0.00003138961,0.0008233925,0.0002251929,0.00096584,0.0001548739,0.0002439167,0.00001494107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971717,"about_ca_system_score_gemma":0.00005207322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000857545,"about_ca_topic_score_gemma":0.00003422087,"domain_scores_codex":[0.9976832,0.0002437177,0.0003138806,0.000934727,0.0004279834,0.0003964981],"domain_scores_gemma":[0.9990025,0.0005151511,0.00009132545,0.0002589607,0.0000323691,0.0000996826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007576417,0.0001144515,0.952261,0.00004913894,0.000001363319,0.00004228977,0.0006547475,0.001307098,0.04197236,0.0002558398,0.001560029,0.00102406],"study_design_scores_gemma":[0.0003269824,0.0003323005,0.9874963,0.00005771772,0.000001977543,0.00003391938,0.0001296778,0.008029711,0.002192728,0.0001075103,0.001076707,0.0002144747],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865496,0.00007924008,0.005236772,0.0001910714,0.0058835,0.0005982965,0.00002395593,0.00005105137,0.001386538],"genre_scores_gemma":[0.9973313,0.00004116735,0.0003030064,0.0009813668,0.00005088074,0.0002399148,1.763065e-7,0.0000146953,0.001037523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03977963,"threshold_uncertainty_score":0.7881736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03796369677545,"score_gpt":0.2150302955344551,"score_spread":0.1770665987590051,"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."}}