{"id":"W4293695087","doi":"10.1007/s00415-022-11306-5","title":"Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study","year":2022,"lang":"en","type":"article","venue":"Journal of Neurology","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Innosuisse - Schweizerische Agentur für Innovationsförderung; Universität Basel","keywords":"Reliability (semiconductor); Multiple sclerosis; Neuroradiology; Neurology; Software; Psychology; Reliability engineering; Medical physics; Medicine; Computer science; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001143592,0.0001077396,0.0005674082,0.0001158601,0.0001612395,0.000004601906,0.0001553306,0.0000307866,0.00001719851],"category_scores_gemma":[0.00191311,0.00008052317,0.00008569176,0.0002278175,0.000141135,0.00006951638,0.00017621,0.0004048133,1.337011e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005644535,"about_ca_system_score_gemma":0.0001354165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005925955,"about_ca_topic_score_gemma":0.0002064411,"domain_scores_codex":[0.9983392,0.000265557,0.0004837018,0.0002754157,0.0004420037,0.0001940959],"domain_scores_gemma":[0.9978313,0.0007684008,0.0004339554,0.0003261579,0.00053933,0.0001008752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00947783,0.00180599,0.9727682,0.0001339078,0.00008773439,0.000005644261,0.0009361245,0.0002365031,0.0107008,0.000001276035,0.0002073382,0.003638578],"study_design_scores_gemma":[0.006129209,0.01299757,0.9789569,0.000009951077,0.00008713037,0.00009786995,0.0006928061,0.0005499758,0.0001251654,0.00003839533,0.0002630815,0.00005191972],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952959,0.0001779065,0.001089966,0.001467748,0.00004983679,0.001869843,0.0000342692,0.00001097489,0.000003503804],"genre_scores_gemma":[0.9978902,0.00006219799,0.001572271,0.0001546815,0.00004982106,0.0002487458,0.000001932217,0.00001465242,0.000005499113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01119158,"threshold_uncertainty_score":0.328364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05677276577095176,"score_gpt":0.3219074820892666,"score_spread":0.2651347163183149,"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."}}