{"id":"W2118096703","doi":"10.1177/1352458514540844","title":"How useful are MS registries?","year":2014,"lang":"en","type":"letter","venue":"Multiple Sclerosis Journal","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multiple sclerosis; Medicine; Clinical neurology; MEDLINE; Neuroscience; Psychology; Chemistry; Psychiatry","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":[0.01424402,0.0005614713,0.001318254,0.001518488,0.005629963,0.008147257,0.002409813,0.07311743,0.008549179],"category_scores_gemma":[0.134399,0.001168095,0.001095311,0.001355983,0.004698292,0.01072113,0.003962065,0.05129686,0.00440954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007975803,"about_ca_system_score_gemma":0.01620273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01055163,"about_ca_topic_score_gemma":0.0179084,"domain_scores_codex":[0.9851477,0.006941248,0.00209436,0.0009164453,0.003070327,0.001829915],"domain_scores_gemma":[0.9149738,0.04762644,0.006225681,0.002053057,0.01239254,0.01672836],"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":[0.00004213306,0.00004951371,0.003642378,0.00008780337,0.00003620073,0.001707831,0.0003186103,0.0001069826,0.000100271,0.006131236,0.9658143,0.02196279],"study_design_scores_gemma":[0.0002350526,0.0001033239,0.00479379,0.001964394,0.0001310726,0.004501724,0.002544508,0.0008725924,0.0002981218,0.03806821,0.9463271,0.0001602041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001743627,0.0002900992,0.00004366723,0.9960027,0.002492732,0.000003397638,0.00001359158,0.000005510915,0.0009738877],"genre_scores_gemma":[0.003778015,0.0008528116,0.0002504172,0.9772664,0.01581629,0.00002353914,0.00002622487,0.00001112503,0.001975274],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07311743,"threshold_uncertainty_score":0.0753305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1088753566043352,"score_gpt":0.2422397752156417,"score_spread":0.1333644186113065,"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."}}