{"id":"W2071203273","doi":"10.1155/2014/162765","title":"Oxygen Cost of Walking in Persons with Multiple Sclerosis: Disability Matters, but Why?","year":2014,"lang":"en","type":"article","venue":"Multiple Sclerosis International","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Multiple Sclerosis Society; National Multiple Sclerosis Society","keywords":"Algorithm; Medicine; Cadence; Artificial intelligence; Machine learning; Computer science; Physical medicine and rehabilitation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001001777,0.0004572269,0.0008150375,0.0003660689,0.0001776025,0.00008291275,0.0006044924,0.0001656448,0.0004097204],"category_scores_gemma":[0.002295821,0.0003869864,0.0002742121,0.0004489565,0.0008135957,0.0003641548,0.0003836665,0.0005426529,0.0000459155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006251728,"about_ca_system_score_gemma":0.00007745753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002541451,"about_ca_topic_score_gemma":0.003050736,"domain_scores_codex":[0.9957123,0.0002476685,0.0008870604,0.0009008753,0.001496417,0.0007556346],"domain_scores_gemma":[0.9969929,0.001168053,0.0003022086,0.0007562403,0.0004801334,0.0003004699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001143169,0.001093253,0.872977,0.0001626969,0.0003043205,0.00000337811,0.000980464,0.0005500241,0.1014235,0.00003241501,0.002071196,0.01925858],"study_design_scores_gemma":[0.00860932,0.0002392766,0.9392606,0.001377018,0.00004582183,0.000007808368,0.001033117,0.03584426,0.01041381,0.000009357317,0.002800266,0.0003593524],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873908,0.00008570206,0.002444069,0.006874829,0.0003467645,0.001435141,0.0003653821,0.0001315238,0.0009257518],"genre_scores_gemma":[0.9910753,0.0001550012,0.0067075,0.0009774158,0.0002947879,0.0004237066,0.0001486549,0.00007713536,0.0001405285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09100965,"threshold_uncertainty_score":0.9998582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.078206755617944,"score_gpt":0.2924827028763859,"score_spread":0.2142759472584419,"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."}}