{"id":"W4414514566","doi":"10.1177/13524585251366096","title":"The language and memory test: A brief multidomain digital cognitive measure for multiple sclerosis","year":2025,"lang":"en","type":"article","venue":"Multiple Sclerosis Journal","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Multiple sclerosis; Discriminative model; Cognition; Measure (data warehouse); Construct (python library)","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":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001874935,0.0006098291,0.0008818186,0.0003979065,0.00268979,0.001023097,0.0004489212,0.0002485156,0.00003218985],"category_scores_gemma":[0.03228096,0.000429244,0.0005675329,0.0006228067,0.0009756211,0.0005118736,0.0004370638,0.00109345,0.00002370424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003256236,"about_ca_system_score_gemma":0.0003473715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001068358,"about_ca_topic_score_gemma":0.0004039543,"domain_scores_codex":[0.9956352,0.0002138832,0.0009866072,0.0007848462,0.001059785,0.001319646],"domain_scores_gemma":[0.9874345,0.009782924,0.0003430712,0.0005545553,0.001255136,0.0006297958],"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":[0.003292956,0.0009548123,0.2829112,0.0002840575,0.001425809,0.00003022237,0.002805493,0.00001051826,0.1595878,0.00001919373,0.01460393,0.5340741],"study_design_scores_gemma":[0.03474598,0.0007994875,0.9135533,0.003798211,0.0004738774,0.0001230474,0.01466807,0.007699743,0.01843665,0.00006626989,0.004911264,0.0007240974],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9736025,0.008447837,0.004850894,0.005764824,0.0006480039,0.004015069,0.0008465596,0.000237434,0.001586849],"genre_scores_gemma":[0.9927686,0.002303368,0.001688279,0.000563705,0.0005678087,0.0004724151,0.00004029,0.00009452876,0.001501027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6306422,"threshold_uncertainty_score":0.9998159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06782779993484835,"score_gpt":0.3007382329801448,"score_spread":0.2329104330452965,"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."}}