{"id":"W4405350116","doi":"10.1016/j.msard.2024.105975","title":"14. An Algorithm for Assessment and Correction of Walking in Patients with Multiple Sclerosis","year":2024,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for Movement Disorders","funders":"","keywords":"Multiple sclerosis; Medicine; Physical medicine and rehabilitation; Algorithm; Physical therapy; Immunology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004666009,0.0003183606,0.0005427927,0.0004367849,0.0002292995,0.00008088777,0.00007363735,0.0002042076,0.00001972396],"category_scores_gemma":[0.000216202,0.0002436017,0.000102817,0.0005359325,0.0003075004,0.0003263403,0.0000910751,0.0003959227,0.000001035977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281594,"about_ca_system_score_gemma":0.00006849253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004922157,"about_ca_topic_score_gemma":0.0005089384,"domain_scores_codex":[0.997761,0.00009525617,0.0005193945,0.0007047669,0.0004508081,0.0004687933],"domain_scores_gemma":[0.9987335,0.0005193946,0.0001037922,0.0002466893,0.0001934226,0.0002031996],"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":[0.0002900166,0.0005419514,0.4258424,0.0002224174,0.0002318464,6.434714e-7,0.0009711715,0.0001271501,0.002245595,0.000004723735,0.00009758888,0.5694245],"study_design_scores_gemma":[0.008836051,0.001053572,0.7587853,0.001272721,0.0001002831,7.344444e-7,0.0008152989,0.2285209,0.0002160331,0.00001277381,0.0001627836,0.0002235857],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944902,0.001511827,0.001050382,0.0002264316,0.0003912595,0.001973186,0.000100345,0.0001144259,0.0001419663],"genre_scores_gemma":[0.9906428,0.003491558,0.005312661,0.00002247815,0.00002613027,0.0002247974,0.0001466229,0.00006896301,0.00006395183],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5692009,"threshold_uncertainty_score":0.9933791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479255602969079,"score_gpt":0.2855962218951882,"score_spread":0.2508036658654974,"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."}}