{"id":"W1916001008","doi":"10.2196/rehab.4109","title":"Disease Profiling for Computerized Peer Support of Ménière's Disease","year":2015,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Vestibular and auditory disorders","field":"Neuroscience","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease; Profiling (computer programming); Computer science; Medicine; Internal medicine; Operating system","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":[0.001698143,0.0004226519,0.0004287233,0.001810297,0.0003445358,0.0005736538,0.0005710522,0.000349179,0.004134278],"category_scores_gemma":[0.007706853,0.0001226494,0.0002190653,0.0008460279,0.000174883,0.000579817,0.0006225464,0.00031136,0.0008945619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004249486,"about_ca_system_score_gemma":0.0008671796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002551491,"about_ca_topic_score_gemma":0.002114376,"domain_scores_codex":[0.998855,0.0005527614,0.0001188254,0.000239049,0.0001806088,0.00005375724],"domain_scores_gemma":[0.9944206,0.003438218,0.0004606431,0.0005114131,0.0008479127,0.000321166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"design_other","study_design_scores_codex":[0.002661476,0.001446022,0.1710731,0.0004477903,0.000131537,0.000492543,0.001829824,0.00856696,0.02151152,0.001201134,0.01071317,0.779925],"study_design_scores_gemma":[0.0009193821,0.004829944,0.515758,0.000245938,0.0004900263,0.002509536,0.002352463,0.3631941,0.06576939,0.006460311,0.03725928,0.0002116253],"study_design_candidate":"design_other","study_design_consensus":"design_other","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7429987,0.0003526529,0.2293343,0.0005952526,0.00007252501,0.003265029,0.005872832,0.01291201,0.00459662],"genre_scores_gemma":[0.833263,0.0001269737,0.159665,0.00009525676,0.00007619458,0.001485869,0.003596599,0.00008270283,0.001608456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004134278,"threshold_uncertainty_score":0.01383048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03639973667870761,"score_gpt":0.3190175115796923,"score_spread":0.2826177749009847,"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."}}