{"id":"W4230659217","doi":"10.1016/s1474-4422(11)70215-0","title":"Making EUReMS count for people with multiple sclerosis","year":2011,"lang":"en","type":"editorial","venue":"The Lancet Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"General partnership; European commission; Multiple sclerosis; Medicine; Quarter (Canadian coin); Family medicine; Political science; Business; Geography; European union; Finance","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":[0.03650781,0.006504325,0.008641682,0.005686724,0.005127211,0.01231644,0.008308821,0.04878481,0.01353445],"category_scores_gemma":[0.09502134,0.003633184,0.005904541,0.003306928,0.004475073,0.009088665,0.003676612,0.05346676,0.01192018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006368086,"about_ca_system_score_gemma":0.008199213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005378256,"about_ca_topic_score_gemma":0.0133368,"domain_scores_codex":[0.9753662,0.007582176,0.004622672,0.001948128,0.00902901,0.001451807],"domain_scores_gemma":[0.9052351,0.05710598,0.006833639,0.002388272,0.02067167,0.007765313],"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":[0.00008748841,0.00001216534,0.00003296635,0.0004288814,0.00007873931,0.00005107984,0.00002365125,0.0000134288,0.00002335563,0.0001891082,0.9956127,0.00344643],"study_design_scores_gemma":[0.0005768167,0.00009842578,0.0008078449,0.002309952,0.0007708803,0.0002472388,0.0001868746,0.0002049092,0.0001336867,0.00166788,0.9929137,0.00008182148],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0000216422,0.00742421,0.00007680873,0.06249326,0.9292911,0.0000177245,0.00006161598,0.00003635645,0.0005773013],"genre_scores_gemma":[0.0004612271,0.00621571,0.0001877795,0.0873709,0.9001067,0.00006950974,0.00005785064,0.00005453385,0.005475889],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04878481,"threshold_uncertainty_score":0.1930741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1471674628837841,"score_gpt":0.3399067808650393,"score_spread":0.1927393179812552,"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."}}