{"id":"W4412166569","doi":"10.1017/cjn.2025.10223","title":"P.050 Mapping motor pathways with transcranial magnetic stimulation to predict functional outcomes in non-human primate models of chronic stroke","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Transcranial Magnetic Stimulation Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transcranial magnetic stimulation; Chronic stroke; Physical medicine and rehabilitation; Neuroscience; Stroke (engine); Non human primate; Primate; Medicine; Stimulation; Psychology; Biology; Rehabilitation; Physics; Evolutionary biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008206711,0.0005032897,0.000339771,0.0007840747,0.0003761515,0.0005446229,0.0003121893,0.0004515852,0.006621726],"category_scores_gemma":[0.0005571946,0.000149601,0.0002944427,0.0003280997,0.0005800292,0.0003405576,0.0003373856,0.0008463491,0.001217859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005709621,"about_ca_system_score_gemma":0.0005391709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214076,"about_ca_topic_score_gemma":0.004156528,"domain_scores_codex":[0.9996531,0.00006562508,0.00002465162,0.00009250623,0.0001079297,0.000056181],"domain_scores_gemma":[0.9994092,0.0001052193,0.0001633188,0.00005337521,0.0001767026,0.00009218268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01487957,0.004208083,0.08724151,0.001029686,0.0004673889,0.001414754,0.0007392592,0.001561047,0.7993982,0.001214748,0.00671736,0.08112831],"study_design_scores_gemma":[0.0008065908,0.04810762,0.62043,0.0002907607,0.0006126151,0.006472708,0.001444258,0.01530758,0.2773625,0.003457107,0.02559671,0.00011164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790525,0.002357757,0.006026973,0.0005408797,0.0001387639,0.0004532974,0.003064705,0.0002184466,0.00814678],"genre_scores_gemma":[0.9773103,0.0009298042,0.00669756,0.0001973816,0.00002557321,0.001375881,0.002454174,0.00004376708,0.01096547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006621726,"threshold_uncertainty_score":0.02215183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04682187172567134,"score_gpt":0.280389664060783,"score_spread":0.2335677923351116,"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."}}