{"id":"W3111308536","doi":"10.1002/alz.045233","title":"Validation and replication of a prognostic machine learning model for enrichment of cognitive decliners in clinical trials","year":2020,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cognitive decline; Cognition; Medicine; Magnetic resonance imaging; Alzheimer's Disease Neuroimaging Initiative; Neuroimaging; Clinical trial; Neuropsychology; Cohort; Internal medicine; Disease; Psychology; Cognitive impairment; Dementia; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.208723,0.002048012,0.002514229,0.001397811,0.0007595272,0.002556197,0.002883985,0.002798575,0.003339249],"category_scores_gemma":[0.2386495,0.0006458554,0.00300928,0.001386542,0.001666982,0.002066209,0.002129961,0.002838389,0.001411296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001302853,"about_ca_system_score_gemma":0.003698073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929741,"about_ca_topic_score_gemma":0.001028875,"domain_scores_codex":[0.9322327,0.0579154,0.003299732,0.004091417,0.001714632,0.0007461673],"domain_scores_gemma":[0.7478345,0.1882619,0.01408429,0.03166954,0.01495871,0.003191041],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.06669763,0.003982313,0.3566,0.001944529,0.009400415,0.0005267661,0.0007101512,0.2828789,0.002604262,0.003158436,0.01370584,0.2577907],"study_design_scores_gemma":[0.009181006,0.009068796,0.0359681,0.0004282295,0.003529499,0.0002735843,0.00008933896,0.9238743,0.002879685,0.01044671,0.004127209,0.0001335283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6612712,0.005964221,0.3022652,0.00369425,0.001276176,0.01185255,0.006423664,0.002520764,0.004731987],"genre_scores_gemma":[0.9573146,0.0002228089,0.03536805,0.000411778,0.0001412594,0.003403885,0.002464225,0.00005734841,0.0006160628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7912771,"threshold_uncertainty_score":0.9757854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1908547973252167,"score_gpt":0.4528269653717967,"score_spread":0.26197216804658,"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."}}