{"id":"W4213009037","doi":"10.1101/2022.02.17.480894","title":"Experience-dependent learning and myelin plasticity in individuals with stroke","year":2022,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Myelin; Motor learning; Neuroplasticity; Stroke (engine); Psychology; Physical medicine and rehabilitation; Neuroscience; Medicine; Central nervous system; Physics","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":[0.0001440033,0.000243154,0.0002790816,0.0003662645,0.0002193837,0.0002619562,0.0001088586,0.0002629446,0.001561817],"category_scores_gemma":[0.000572995,0.00009510134,0.0001237736,0.0002091184,0.0001943073,0.0002027643,0.000268573,0.0001672129,0.0001407385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001494251,"about_ca_system_score_gemma":0.00009252827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508833,"about_ca_topic_score_gemma":0.002204279,"domain_scores_codex":[0.9999049,0.00001237785,0.00001029561,0.0000322608,0.00001549073,0.00002477956],"domain_scores_gemma":[0.9997388,0.00003386815,0.0001357659,0.00001620687,0.00002747577,0.00004789192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00141827,0.0007455085,0.9231064,0.0001039513,0.0001906234,0.001675398,0.001039735,0.0003645824,0.04123114,0.00008347304,0.0002202614,0.02982067],"study_design_scores_gemma":[0.000005988618,0.0005998198,0.9973202,0.000004953417,0.00002209687,0.000737962,0.0001174422,0.0001195256,0.0009218229,0.0000742675,0.00007210414,0.000003791815],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997098,0.00004851299,0.00004894839,0.00001071041,8.271948e-7,0.000002372937,0.00002411898,0.000002631878,0.0001520233],"genre_scores_gemma":[0.9997256,0.00002849867,0.00003969252,0.000006989569,0.000001626606,0.000002844606,0.00002945251,6.81901e-7,0.0001645321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001561817,"threshold_uncertainty_score":0.005224824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986012469849179,"score_gpt":0.2921373455091544,"score_spread":0.2622772208106626,"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."}}