{"id":"W4353048131","doi":"10.1016/j.msard.2023.104655","title":"Inequality in accessing healthcare for people with MS","year":2023,"lang":"en","type":"editorial","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Referral; Health care; Family medicine; Library science; Political science; Law; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001083127,0.0006543242,0.001557847,0.0005674677,0.0004660821,0.0001305235,0.0002367153,0.001283695,0.00001961291],"category_scores_gemma":[0.00564348,0.0005017621,0.0002497472,0.001066597,0.0003106951,0.0001653433,0.0002657556,0.001714173,0.00001214436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002879738,"about_ca_system_score_gemma":0.0004555567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009118511,"about_ca_topic_score_gemma":0.03780221,"domain_scores_codex":[0.9954137,0.000195939,0.0009233863,0.001242328,0.001120049,0.001104574],"domain_scores_gemma":[0.9947861,0.003496312,0.0003424741,0.0005681999,0.0004434359,0.0003634605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.003802251,0.0008351145,0.1778956,0.008332008,0.001178307,0.00001413226,0.004764384,0.0001773319,0.0003425551,0.00001008472,0.7430708,0.05957745],"study_design_scores_gemma":[0.03719201,0.001843461,0.7569939,0.01121826,0.000443896,0.000001533211,0.002736368,0.005875069,0.00003311177,0.0001446259,0.1817862,0.001731568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.2108374,0.01083818,0.0001581851,0.01473372,0.7475482,0.01176608,0.002473773,0.001094169,0.0005503068],"genre_scores_gemma":[0.7623029,0.0887014,0.001205106,0.0001164404,0.1369379,0.003427429,0.005387284,0.0007904668,0.001131018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6106102,"threshold_uncertainty_score":0.9997434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05714403381001097,"score_gpt":0.3344462771573476,"score_spread":0.2773022433473367,"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."}}