{"id":"W4396968058","doi":"10.2174/0118741207305161240422113604","title":"Virtual Analysis for Spinal Cord Injury Rehabilitation","year":2024,"lang":"en","type":"article","venue":"The Open Biomedical Engineering Journal","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rehabilitation; Spinal cord injury; Physical medicine and rehabilitation; Spinal cord; Medicine; Computer science; Physical therapy; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0007147401,0.0009184697,0.0007777888,0.00124363,0.0004925597,0.001761714,0.000952813,0.0007360735,0.009166733],"category_scores_gemma":[0.002526913,0.0003229786,0.0009673855,0.0007486248,0.0005395336,0.0008077952,0.001900703,0.0008084229,0.002311023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007397707,"about_ca_system_score_gemma":0.0009596134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004633154,"about_ca_topic_score_gemma":0.004675143,"domain_scores_codex":[0.9994287,0.0001285415,0.00003376485,0.0001136831,0.0002496901,0.00004560782],"domain_scores_gemma":[0.9993874,0.0002230003,0.00005721903,0.0001001221,0.0001727386,0.00005950865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005572933,0.0001915121,0.003937302,0.0007598642,0.0001925436,0.0003773375,0.0002654027,0.130225,0.02705454,0.00981502,0.02879771,0.7978266],"study_design_scores_gemma":[0.0000584839,0.0003940109,0.0074603,0.0003159245,0.0001352836,0.0005853856,0.0002152786,0.8777927,0.01725061,0.02425894,0.07141572,0.0001173423],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02955046,0.005087891,0.9335771,0.001533442,0.0007143577,0.0004235627,0.001971217,0.01348149,0.01366043],"genre_scores_gemma":[0.6715568,0.005456222,0.3034846,0.0009029211,0.0003435333,0.0007608372,0.003192269,0.000930539,0.01337225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009166733,"threshold_uncertainty_score":0.03066581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185403009358909,"score_gpt":0.3428434005593056,"score_spread":0.3243030996234147,"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."}}