{"id":"W4379348402","doi":"10.1017/cjn.2023.205","title":"P.115 MRI based methodology for assessment of white matter neuroplasticity: preclinical validation using human motor training data","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Burnaby Hospital; University of Winnipeg","funders":"","keywords":"Diffusion MRI; White matter; Corticospinal tract; Medicine; Magnetic resonance imaging; Preclinical research; Physical medicine and rehabilitation; Nuclear medicine; Radiology; Medical physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.004204621,0.0007215855,0.0003244151,0.00114523,0.0003124344,0.0007798716,0.0006589972,0.0005104019,0.00691642],"category_scores_gemma":[0.004794819,0.0003234276,0.0003218563,0.0008972525,0.0008610418,0.0005821916,0.0005580984,0.000841438,0.003185397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002912018,"about_ca_system_score_gemma":0.0006964497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637687,"about_ca_topic_score_gemma":0.001980098,"domain_scores_codex":[0.999049,0.0002402637,0.00007370782,0.0001381844,0.0004730629,0.00002575821],"domain_scores_gemma":[0.9973157,0.0006649046,0.000380934,0.0003951997,0.001166472,0.00007683892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001166384,0.0008106451,0.02443399,0.001437214,0.0002577743,0.000615127,0.0003257697,0.008039723,0.5541918,0.004442159,0.009842522,0.3944368],"study_design_scores_gemma":[0.0003918275,0.0147546,0.2009703,0.001103788,0.0005855531,0.01029718,0.0003479851,0.09075031,0.5714974,0.00942504,0.09960633,0.000269744],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.177155,0.008782801,0.7814813,0.0008344739,0.000677204,0.002543433,0.004284136,0.002266982,0.0219747],"genre_scores_gemma":[0.5438043,0.006418969,0.4305408,0.0003798761,0.0001690228,0.003570783,0.00308354,0.0007294675,0.01130325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00691642,"threshold_uncertainty_score":0.02313775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5785829321442595,"score_gpt":0.5028159455403525,"score_spread":0.07576698660390702,"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."}}