{"id":"W4396776195","doi":"10.2196/56074","title":"Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondazione Italiana Sclerosi Multipla; Sanofi","keywords":"Preprint; Usability; Multiple sclerosis; Mobile apps; Cognitive impairment; Psychology; Medicine; Cognition; Computer science; World Wide Web; Human–computer interaction; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.01016853,0.0006529926,0.0007435282,0.0009849567,0.0005377708,0.0006127119,0.0004607537,0.0006548735,0.001204832],"category_scores_gemma":[0.0114097,0.0002968744,0.001251229,0.0004755929,0.000550152,0.0005818379,0.001053839,0.0005849612,0.0003430035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000383104,"about_ca_system_score_gemma":0.001016455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000712702,"about_ca_topic_score_gemma":0.001624971,"domain_scores_codex":[0.996264,0.001508042,0.0005412046,0.0003848113,0.001117439,0.00018439],"domain_scores_gemma":[0.9924004,0.003763244,0.0006976457,0.0003364747,0.002538363,0.0002638545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009934079,0.03551838,0.4585793,0.007338691,0.001393131,0.001235132,0.02367184,0.001894624,0.04213006,0.0008018326,0.007468447,0.4100345],"study_design_scores_gemma":[0.003046572,0.07603046,0.876679,0.00130642,0.001502784,0.002539699,0.005687313,0.007346467,0.01151637,0.0003134299,0.01381289,0.0002186644],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908619,0.0003508219,0.002426157,0.00009381039,0.00003810107,0.004817037,0.0003531195,0.00006321842,0.000995905],"genre_scores_gemma":[0.9562169,0.000708358,0.02603534,0.0003896118,0.00006709691,0.01388874,0.001058505,0.00004171899,0.001593706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01016853,"threshold_uncertainty_score":0.05377692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08783926932627421,"score_gpt":0.444867741181226,"score_spread":0.3570284718549518,"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."}}