{"id":"W4405919577","doi":"10.1177/13524585241308134","title":"Recommendations for essential medicines for multiple sclerosis in low-resource settings","year":2024,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Queen's University; Impact; University of British Columbia; Multiple Sclerosis Society of Canada","funders":"","keywords":"Fingolimod; Glatiramer acetate; Ocrelizumab; Multiple sclerosis; Medicine; Teriflunomide; Cladribine; Alemtuzumab; Context (archaeology); Interferon beta-1a; Physical therapy; Rituximab; Intensive care medicine; Internal medicine; Interferon beta; Immunology; Lymphoma","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":[0.04721834,0.002197913,0.002750785,0.006583719,0.001644461,0.004402744,0.009321389,0.01474038,0.01432546],"category_scores_gemma":[0.1717831,0.001864073,0.008946368,0.004659445,0.002023338,0.005819121,0.005371121,0.01322266,0.005178732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006020676,"about_ca_system_score_gemma":0.02761547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0159787,"about_ca_topic_score_gemma":0.02450733,"domain_scores_codex":[0.9352974,0.03173327,0.018739,0.001353912,0.01085347,0.002022824],"domain_scores_gemma":[0.8179786,0.09470945,0.02187346,0.004275729,0.05617851,0.004984151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005494999,0.0003853567,0.001865937,0.06338084,0.001334618,0.0005701564,0.001562544,0.001307607,0.0009421794,0.01305828,0.6034338,0.3116092],"study_design_scores_gemma":[0.001294557,0.000301604,0.004722369,0.1585599,0.00241091,0.0003712101,0.0007944989,0.0006725924,0.0006028712,0.01167245,0.8183999,0.0001970513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.004976691,0.2392226,0.03523507,0.5643653,0.03067691,0.01999258,0.01581704,0.001581016,0.08813283],"genre_scores_gemma":[0.0382259,0.1855583,0.4299098,0.2787188,0.005364804,0.02775982,0.01042548,0.0004242806,0.02361279],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04721834,"threshold_uncertainty_score":0.2497174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1214893747593575,"score_gpt":0.3443669976023979,"score_spread":0.2228776228430404,"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."}}