{"id":"W2897915992","doi":"10.1016/j.jalz.2018.06.287","title":"P1‐281: NONLINEAR N‐SCORE ESTIMATION FOR ESTABLISHING COGNITIVE NORMS FROM THE NATIONAL ALZHEIMER'S COORDINATING CENTER (NACC) DATASET","year":2018,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Vancouver Coastal Health Research Institute","funders":"","keywords":"Standard deviation; Cognition; Dementia; Standard score; Statistics; Mathematics; Psychology; Medicine; Internal medicine; Psychiatry; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007320935,0.00167519,0.001324412,0.002824581,0.0008628593,0.001811869,0.003612931,0.001698939,0.01090817],"category_scores_gemma":[0.02426782,0.0004577163,0.001276658,0.002685713,0.0006081275,0.0008858251,0.002094237,0.001823598,0.01287163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001602651,"about_ca_system_score_gemma":0.002427364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02913956,"about_ca_topic_score_gemma":0.04702451,"domain_scores_codex":[0.9965173,0.0008688142,0.0003607565,0.001284995,0.0007069664,0.0002611013],"domain_scores_gemma":[0.994951,0.00139483,0.000524293,0.00161603,0.001279837,0.0002340266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001514539,0.0005614999,0.1970263,0.0008537812,0.0007488953,0.0004538807,0.0002503839,0.009378979,0.001388218,0.00220624,0.7198593,0.06575806],"study_design_scores_gemma":[0.001711774,0.0008520352,0.350969,0.0007146169,0.0005223689,0.002005317,0.0009836586,0.12735,0.004523628,0.0141799,0.4958117,0.000376044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03787934,0.000380169,0.009612191,0.0003719731,0.0001410154,0.0004468748,0.9467999,0.002497238,0.001871231],"genre_scores_gemma":[0.02349334,0.00007859412,0.01031804,0.00009680516,0.00003952001,0.0007154752,0.9643422,0.0001589434,0.0007572452],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02913956,"threshold_uncertainty_score":0.05793989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06993774591646401,"score_gpt":0.3655949774011956,"score_spread":0.2956572314847316,"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."}}