{"id":"W2994875504","doi":"10.12688/f1000research.20906.1","title":"Recent advances in understanding multiple sclerosis","year":2019,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Prion Research Institute; Canada Research Chairs; Multiple Sclerosis Society of Canada; Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Multiple sclerosis; Autoimmunity; Neuroscience; Disease; Medicine; Inflammation; Neurodegeneration; Microglia; Immunology; Immune system; Biology; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002095845,0.0004868042,0.001106057,0.00132662,0.0001718021,0.000140155,0.0007026763,0.0004711422,0.0009173565],"category_scores_gemma":[0.003885135,0.000436203,0.0002520139,0.0008908966,0.0004355287,0.000195987,0.003309068,0.003271863,0.0004755114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003049529,"about_ca_system_score_gemma":0.0009563866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002332296,"about_ca_topic_score_gemma":0.0005936671,"domain_scores_codex":[0.9935617,0.0004419844,0.00070456,0.001275011,0.002548962,0.001467781],"domain_scores_gemma":[0.9962629,0.001308333,0.0001352371,0.00136749,0.0004933249,0.0004326995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002883354,0.001289634,0.7430626,0.006494115,0.0004786957,0.0002155282,0.00157639,0.00356727,0.006516454,0.0003758319,0.02260549,0.2109346],"study_design_scores_gemma":[0.01177305,0.0008363045,0.7145258,0.01153791,0.00008091819,0.00001158379,0.004152738,0.0334185,0.002747927,0.003095112,0.2163508,0.001469409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4147096,0.3359082,0.005231942,0.03925623,0.004677819,0.03262815,0.001080713,0.001249358,0.165258],"genre_scores_gemma":[0.6653634,0.3320271,0.0005265514,0.00009260132,0.0002749856,0.0004716319,0.0001518601,0.0001030339,0.000988853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2506538,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3639070080038507,"score_gpt":0.4208291565401116,"score_spread":0.05692214853626087,"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."}}