{"id":"W3153436665","doi":"10.2196/27113","title":"Learning From Clinical Consensus Diagnosis in India to Facilitate Automatic Classification of Dementia: Machine Learning Study","year":2021,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institutes of Health","keywords":"Dementia; Artificial intelligence; Machine learning; Computer science; Consensus conference; Medicine; Medical physics; Pathology; Library science; Disease","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":[0.02147445,0.0007706739,0.0007302026,0.002035559,0.001040759,0.001716839,0.002234405,0.001040148,0.001170823],"category_scores_gemma":[0.06983837,0.00045375,0.001521523,0.001535372,0.001074103,0.001315874,0.001635648,0.002253255,0.0005251069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002974856,"about_ca_system_score_gemma":0.003009931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01778621,"about_ca_topic_score_gemma":0.01327551,"domain_scores_codex":[0.9893525,0.006724561,0.0006473636,0.001440368,0.001135673,0.0006995446],"domain_scores_gemma":[0.9233481,0.05706375,0.003651453,0.006532249,0.008011382,0.001393138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001558249,0.001833901,0.8809973,0.000272165,0.0005844709,0.0003638144,0.00231884,0.02437841,0.0003727206,0.001333476,0.003080653,0.08290605],"study_design_scores_gemma":[0.0002834307,0.002294173,0.4705752,0.0002293062,0.0006112565,0.0009636143,0.00357893,0.5118482,0.003268886,0.003565032,0.00260417,0.0001777905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876555,0.0002469095,0.008950788,0.0003903176,0.00005374235,0.000325034,0.0004320385,0.0001246203,0.001821214],"genre_scores_gemma":[0.9921846,0.00007012222,0.006704738,0.00008379767,0.00002542586,0.0001188366,0.0005843645,0.00001419306,0.0002139465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02147445,"threshold_uncertainty_score":0.1135691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09995279403971513,"score_gpt":0.4358924270978103,"score_spread":0.3359396330580952,"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."}}