{"id":"W4402406787","doi":"10.4103/nrr.nrr-d-24-00369","title":"Stepping up after spinal cord injury: negotiating an obstacle during walking","year":2024,"lang":"en","type":"article","venue":"Neural Regeneration Research","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Spinal cord injury; Spinal cord; Obstacle; Neuroscience; Physical medicine and rehabilitation; Premotor cortex; Motor cortex; Balance (ability); Posterior parietal cortex; Sensory system; Cortex (anatomy); Gait; Obstacle avoidance; Psychology; Medicine; Computer science; Anatomy; Robot; Artificial intelligence","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":[0.0002828964,0.0005553481,0.0009156103,0.001209502,0.0003414631,0.0009769906,0.0005470046,0.001238009,0.001081499],"category_scores_gemma":[0.0003400797,0.0001415029,0.0004712469,0.000957148,0.0007052772,0.0009683864,0.0005370534,0.0009500752,0.0005290971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005858408,"about_ca_system_score_gemma":0.00106112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637023,"about_ca_topic_score_gemma":0.00237397,"domain_scores_codex":[0.9998228,0.00002468728,0.00003693915,0.00003405234,0.00005164129,0.00002991238],"domain_scores_gemma":[0.9998988,0.00003189997,0.00002212978,0.00000270282,0.0000325941,0.00001185381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002336884,0.0001023894,0.0009302514,0.03162321,0.0001451324,0.00121006,0.0009109039,0.0007505804,0.01708041,0.0110773,0.01186853,0.9240675],"study_design_scores_gemma":[0.00003029367,0.0009522177,0.01168809,0.01081599,0.0003893089,0.01065478,0.001183211,0.0004804587,0.009672112,0.007546075,0.9464793,0.0001081523],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002389472,0.9936165,0.0007657082,0.0004265479,0.0003731165,0.00001556119,0.00002344363,0.00001690552,0.002372835],"genre_scores_gemma":[0.008624713,0.9892282,0.0004563985,0.0002831599,0.0002203729,0.00002274224,0.00004561595,0.000003322756,0.001115472],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001637023,"threshold_uncertainty_score":0.004250586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1589796266755736,"score_gpt":0.4908814927775651,"score_spread":0.3319018661019915,"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."}}