{"id":"W4387661542","doi":"10.1177/13524585231199321","title":"Establishing the consistency of a voice recognition symbol digit modalities test analogue","year":2023,"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":"Health Sciences Centre; London Health Sciences Centre; University of Toronto; Western University; Sunnybrook Health Science Centre","funders":"","keywords":"Multiple sclerosis; Audiology; Psychology; Reliability (semiconductor); Modalities; Replicate; Test (biology); Consistency (knowledge bases); Medicine; Computer science; Artificial intelligence; Mathematics; Psychiatry; Statistics","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"],"consensus_categories":[],"category_scores_codex":[0.001719932,0.0002874273,0.0006224776,0.0005040785,0.000848914,0.0002761687,0.0003793838,0.0001210195,0.0001255477],"category_scores_gemma":[0.01694775,0.0001936859,0.0003848525,0.001234803,0.0005429744,0.0005114372,0.0002523121,0.0008580643,0.0001603283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00015986,"about_ca_system_score_gemma":0.0002399169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002927375,"about_ca_topic_score_gemma":0.000157879,"domain_scores_codex":[0.9965177,0.0002480079,0.0009101075,0.0003411548,0.001225443,0.0007576022],"domain_scores_gemma":[0.9932993,0.004421825,0.0003971218,0.0004803392,0.001082798,0.0003186063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006267434,0.000860506,0.553575,0.0006233844,0.001031159,0.00009978891,0.007636075,0.0002452304,0.2245202,0.00002145696,0.04174781,0.1690127],"study_design_scores_gemma":[0.004086833,0.000520415,0.9618735,0.001761891,0.0001984803,0.0001664267,0.01218914,0.004270669,0.01261806,0.0002788282,0.001709466,0.0003262428],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912633,0.0004516785,0.00009832815,0.004903603,0.0003967508,0.0006861131,0.0003243745,0.0001695734,0.001706249],"genre_scores_gemma":[0.9946993,0.003389903,0.0005108879,0.0002245924,0.0006326441,0.00007585646,0.0000701232,0.00005080303,0.0003458871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4082986,"threshold_uncertainty_score":0.9913329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1839218462128211,"score_gpt":0.3096738429178619,"score_spread":0.1257519967050408,"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."}}