{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004331269,0.0002735354,0.0004231518,0.0003739067,0.0002281268,0.0005236918,0.000241124,0.0005207552,0.001521285],"category_scores_gemma":[0.003447283,0.00008383392,0.0002770752,0.0005428132,0.0003820431,0.000495992,0.0003385801,0.0004822079,0.0001835627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004232182,"about_ca_system_score_gemma":0.0002016672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004215522,"about_ca_topic_score_gemma":0.005780422,"domain_scores_codex":[0.9997253,0.00009442703,0.00003366366,0.00003752246,0.0000730403,0.00003603468],"domain_scores_gemma":[0.9989554,0.000292124,0.0004477365,0.00002518072,0.0001267069,0.000152886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007212508,0.0001389593,0.9144549,0.0006172257,0.0005449079,0.0002211412,0.0003749494,0.0005064865,0.000674576,0.0002987059,0.003055182,0.0783917],"study_design_scores_gemma":[0.0000161209,0.000186839,0.9964785,0.0001839258,0.0001457302,0.0004345785,0.0002999746,0.0004257506,0.00007289396,0.0005956736,0.001150836,0.000009203757],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9631405,0.02299771,0.0002744954,0.01066399,0.0001007983,0.00001860175,0.0005847284,0.00001101788,0.002208166],"genre_scores_gemma":[0.9960452,0.002974306,0.0000990274,0.0004403117,0.0001464041,0.000006683645,0.0001136706,0.000001697164,0.0001727464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004215522,"threshold_uncertainty_score":0.008381963,"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."}}