{"id":"W3175629638","doi":"10.1186/s13195-021-00886-5","title":"Predicting progression and cognitive decline in amyloid-positive patients with Alzheimer’s disease","year":2021,"lang":"en","type":"article","venue":"Alzheimer s Research & Therapy","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Olav Thon Stiftelsen; Vetenskapsrådet; National Institute on Aging; Knut och Alice Wallenbergs Stiftelse; Hjärnfonden; Canadian Institutes of Health Research; EU Joint Programme – Neurodegenerative Disease Research; Familjen Erling-Perssons Stiftelse; Chalmers Tekniska Högskola; Alzheimer's Drug Discovery Foundation","keywords":"Cohort; Medicine; Disease; Pathological; Alzheimer's Disease Neuroimaging Initiative; Neuropsychology; Internal medicine; Cognition; Cognitive decline; Dementia; Demographics; Neuroimaging; Amyloid (mycology); Pathology; Oncology; Psychiatry; Demography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001067658,0.000266659,0.0003488017,0.0003807116,0.0002975625,0.0001382081,0.0001258828,0.00008993629,0.0003531182],"category_scores_gemma":[0.0003251816,0.0001981123,0.00006685835,0.0009926747,0.0005198421,0.0002947418,0.0002996506,0.0007845349,0.00003216003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003793851,"about_ca_system_score_gemma":0.0006576182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009207627,"about_ca_topic_score_gemma":0.00006244107,"domain_scores_codex":[0.99535,0.0007598421,0.0003171593,0.0007849192,0.00186218,0.0009258998],"domain_scores_gemma":[0.9964988,0.0005838898,0.00006055621,0.0002955451,0.00189299,0.00066826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006618919,0.001795995,0.8242095,0.00001702479,0.0008889088,0.0005129846,0.000393476,2.079546e-7,0.0002851845,0.0000204382,0.00005446469,0.1652029],"study_design_scores_gemma":[0.01055269,0.002348789,0.9736841,0.0006906162,0.0002575635,0.00001089865,0.0005738793,0.0001559589,0.01075358,0.0001326148,0.000626773,0.0002124878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693008,0.02418339,0.00002075932,0.002202152,0.00002972019,0.00254337,0.00004609993,0.0000406422,0.001633063],"genre_scores_gemma":[0.9965096,0.001613554,0.0002034939,0.0006403074,0.0001023417,0.0004177008,0.0003434157,0.00005807056,0.0001115209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1649904,"threshold_uncertainty_score":0.8078784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05440518038918191,"score_gpt":0.4005767455537111,"score_spread":0.3461715651645292,"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."}}