{"id":"W2585985131","doi":"10.2147/ppa.s124192","title":"Herding: a new phenomenon affecting medical decision-making in multiple sclerosis care? Lessons learned from DIScUTIR MS","year":2017,"lang":"en","type":"article","venue":"Patient Preference and Adherence","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"Universität Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Herding; Medicine; Fingolimod; Logistic regression; Phenomenon; Multiple sclerosis; Clinical Practice; Alternative medicine; Family medicine; Psychiatry; Internal medicine; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002802423,0.0002909806,0.0005506851,0.0001241514,0.0006738188,0.0002254131,0.0004477295,0.0001576585,0.0002896858],"category_scores_gemma":[0.007096764,0.0002282487,0.00008131218,0.0001291085,0.0002652451,0.0003468806,0.0009250167,0.0005746302,0.00003399724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001296841,"about_ca_system_score_gemma":0.00024524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004341039,"about_ca_topic_score_gemma":0.005139199,"domain_scores_codex":[0.9971634,0.00009871337,0.0004314305,0.0007943064,0.0009249159,0.0005872801],"domain_scores_gemma":[0.9974058,0.001066891,0.0002353644,0.0007359706,0.000116674,0.0004392963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002406141,0.0001001651,0.2932115,0.00005435244,0.00003203212,0.00001576876,0.00619362,0.000004589368,0.002463339,0.00001006135,0.00008103492,0.6975929],"study_design_scores_gemma":[0.003617501,0.0005385954,0.9790594,0.007815652,0.00003406154,0.000002070382,0.004334056,0.001940782,0.001269036,0.0007306545,0.0003076638,0.0003505432],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994458,0.001115749,0.0005680781,0.0008818297,0.0001673131,0.0006588087,0.00002912377,0.00005205617,0.002069044],"genre_scores_gemma":[0.9950448,0.002137976,0.002453958,0.0000734506,0.0001313097,0.00007899414,0.00001387866,0.00002377607,0.00004180302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6972423,"threshold_uncertainty_score":0.9307714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3065712283218545,"score_gpt":0.3906123350299334,"score_spread":0.0840411067080789,"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."}}