{"id":"W2587398982","doi":"10.1002/hbm.23530","title":"Sensory tractography and robot‐quantified proprioception in hemiparetic children with perinatal stroke","year":2017,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Cerebral Palsy and Movement Disorders","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; Alberta Children's Hospital; University of Calgary","funders":"Alberta Children's Hospital Foundation; Alberta Innovates - Health Solutions; Hotchkiss Brain Institute, University of Calgary; Cerebral Palsy International Research Foundation","keywords":"Psychology; Internal capsule; Proprioception; Stroke (engine); Hemiparesis; Diffusion MRI; Corticospinal tract; Sensory system; Physical medicine and rehabilitation; Cerebral palsy; Fractional anisotropy; Neuroscience; Pyramidal tracts; Medicine; Lesion; Magnetic resonance imaging; White matter; Radiology","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":[0.0002110949,0.0002901678,0.0002207804,0.0008735192,0.0001931014,0.0003381333,0.0001468833,0.0002135147,0.0009814875],"category_scores_gemma":[0.001148213,0.0001543832,0.0001649094,0.0004518782,0.0002821336,0.0002374874,0.0002576716,0.0001585601,0.0001461442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030077,"about_ca_system_score_gemma":0.0002612852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008900542,"about_ca_topic_score_gemma":0.01177828,"domain_scores_codex":[0.999889,0.00002036576,0.00001654336,0.0000293969,0.00002147485,0.00002316546],"domain_scores_gemma":[0.9995956,0.0000703043,0.0002192686,0.00001999248,0.00004862745,0.00004631151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000139476,0.0000314158,0.9920854,0.00002557511,0.00003027695,0.0009830139,0.0004059451,0.0001019666,0.002423612,0.0000267517,0.00003828635,0.003708319],"study_design_scores_gemma":[0.000002251877,0.0001197299,0.9974928,0.000007739355,0.00001292042,0.001399284,0.0002655869,0.0001445925,0.0004810251,0.00001508579,0.00005639935,0.00000256118],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997696,0.0000480555,0.00004402517,0.000003450946,2.86589e-7,0.000002088423,0.00005508534,0.000001332685,0.00007606736],"genre_scores_gemma":[0.9995608,0.0001025833,0.0001328644,0.000003279115,5.750902e-7,0.000006435232,0.0001082068,9.748584e-7,0.0000842034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008900542,"threshold_uncertainty_score":0.01769751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0321863812373252,"score_gpt":0.2825941234432544,"score_spread":0.2504077422059292,"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."}}