{"id":"W6995763837","doi":"","title":"Patient perspectives on switching disease-modifying therapies in the NARCOMS registry","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logistic regression; Inclusion (mineral); Disease; New england; Multiple sclerosis","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":[0.01081426,0.0001246683,0.0005097385,0.0008315056,0.0008877102,0.001981951,0.0005985752,0.001117877,0.004627145],"category_scores_gemma":[0.04468555,0.0002028927,0.0007627975,0.002057669,0.0003250427,0.001918756,0.001233797,0.001283733,0.0005902408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007719094,"about_ca_system_score_gemma":0.00137293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004740815,"about_ca_topic_score_gemma":0.006998521,"domain_scores_codex":[0.9866115,0.007791858,0.001612934,0.0007053788,0.002164335,0.00111404],"domain_scores_gemma":[0.9562931,0.01820989,0.01861615,0.001205582,0.0020752,0.003599973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006899526,0.0001794939,0.9591267,0.00009892506,0.0001045853,0.000317508,0.001903917,0.0001458544,0.0001015629,0.0003341158,0.01502761,0.02196981],"study_design_scores_gemma":[0.000156748,0.0003784286,0.9722995,0.0004603361,0.0001205804,0.001132908,0.009856992,0.001019403,0.0002698723,0.0003873388,0.01384185,0.00007610681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9670588,0.001234872,0.0001992731,0.01914361,0.0001415148,0.00005953672,0.00301364,0.0000383128,0.009110443],"genre_scores_gemma":[0.9938139,0.0008204274,0.0002504273,0.002749315,0.0001965549,0.00006892184,0.001610683,0.00001341849,0.0004763464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01081426,"threshold_uncertainty_score":0.05719191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2919804110051364,"score_gpt":0.5629892401245128,"score_spread":0.2710088291193763,"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."}}