{"id":"W2609123133","doi":"10.1186/s13195-017-0260-z","title":"Comparison of CSF markers and semi-quantitative amyloid PET in Alzheimer’s disease diagnosis and in cognitive impairment prognosis using the ADNI-2 database","year":2017,"lang":"en","type":"article","venue":"Alzheimer s Research & Therapy","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Pfizer; Novartis Pharmaceuticals Corporation; Eisai; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Servier; BioClinica; Bristol-Myers Squibb; Eli Lilly and Company; Biogen","keywords":"Neurology; Medicine; Cognitive impairment; Geriatric psychiatry; Disease; Dementia; Amyloid β; Amyloid (mycology); Pathology; Internal medicine; Oncology; Psychiatry","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":[0.003185397,0.0002874048,0.0005541991,0.000566698,0.0005208042,0.0002107618,0.000346336,0.00005321993,0.0001882753],"category_scores_gemma":[0.0006430506,0.0002085236,0.00008324511,0.0004269775,0.001787466,0.0004831557,0.0005033177,0.0007212245,0.000004781705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000494976,"about_ca_system_score_gemma":0.0003164523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001846911,"about_ca_topic_score_gemma":0.0003675153,"domain_scores_codex":[0.9958107,0.00100795,0.0004934644,0.0006701017,0.001188324,0.0008294603],"domain_scores_gemma":[0.9969824,0.001385885,0.0001787151,0.0005578211,0.0004860956,0.0004090588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006858198,0.001719104,0.9608068,0.00005667975,0.0009710757,0.0001972809,0.001832718,0.000001030705,0.002301399,0.0000380344,0.0002154394,0.0250022],"study_design_scores_gemma":[0.005596045,0.001407341,0.9693558,0.0008570632,0.000346473,0.000009900257,0.006912399,0.002399137,0.01267426,0.00008877394,0.0001336675,0.0002191547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.959707,0.03340835,0.000009599844,0.002442852,0.00002938834,0.004013986,0.0001014827,0.00001008679,0.0002773027],"genre_scores_gemma":[0.9866535,0.01197595,0.0002524008,0.0001234415,0.0000332923,0.0008682059,0.00004470943,0.00003790515,0.00001059259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02694655,"threshold_uncertainty_score":0.8503345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2604679279224127,"score_gpt":0.5005382193006511,"score_spread":0.2400702913782384,"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."}}