{"id":"W4406993297","doi":"10.1161/str.56.suppl_1.wmp42","title":"Abstract WMP42: Exploring The Neural Basis Of Prognostic Tools For Upper Limb Recovery After Stroke: <i>Lesion Topography Of SAFE And Other Medical Research Council Scale Scores</i>","year":2025,"lang":"en","type":"article","venue":"Stroke","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Physical medicine and rehabilitation; Stroke recovery; Scale (ratio); Upper limb; Lesion; Rehabilitation; Physical therapy; Surgery; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007306652,0.0003530289,0.0002519267,0.0005838647,0.0001804174,0.0004601798,0.0002967445,0.0003401015,0.004905248],"category_scores_gemma":[0.002063271,0.00009681176,0.0001864329,0.0003027935,0.0002162348,0.0002865515,0.0002902909,0.0001840915,0.0005854063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171714,"about_ca_system_score_gemma":0.0002084937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001127491,"about_ca_topic_score_gemma":0.001719657,"domain_scores_codex":[0.9998912,0.00002994051,0.000009073976,0.00003202479,0.0000234245,0.00001434788],"domain_scores_gemma":[0.9996507,0.000110488,0.0001069784,0.00003056558,0.00005340344,0.00004785218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004871328,0.0006671515,0.7750602,0.0003888273,0.0004890926,0.0009494799,0.0007992357,0.002656376,0.07448505,0.0004220773,0.00326037,0.1359509],"study_design_scores_gemma":[0.00008178344,0.0008419357,0.9905667,0.00001979295,0.00006108782,0.0006624055,0.0001449191,0.002948256,0.003514227,0.0004428571,0.0007032087,0.00001286977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971091,0.00008754865,0.001374435,0.00004281234,0.000005189107,0.00005139863,0.0004212539,0.00004367402,0.0008645255],"genre_scores_gemma":[0.9973511,0.00002715245,0.001432068,0.00001857322,0.000008058339,0.00007709789,0.0003495931,0.00001049431,0.0007260004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004905248,"threshold_uncertainty_score":0.0164097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0996356409705842,"score_gpt":0.3390047712150242,"score_spread":0.23936913024444,"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."}}