{"id":"W2034298182","doi":"10.1016/j.jalz.2010.05.146","title":"IC‐P‐131: Robust Identification of Amnestic MCI Progressors to Probable Alzheimer's disease Via Baseline MRI Analysis","year":2010,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Medicine; Neuroimaging; Linear discriminant analysis; Nuclear medicine; Robustness (evolution); Alzheimer's Disease Neuroimaging Initiative; Missing data; Artificial intelligence; Psychology; Pattern recognition (psychology); Computer science; Internal medicine; Statistics; Disease; Mathematics; Alzheimer's disease; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007198896,0.000274237,0.0002964893,0.0004914994,0.0002863676,0.0001378541,0.000559464,0.00008751945,0.0005673004],"category_scores_gemma":[0.0003928739,0.0002750366,0.0002191472,0.002221069,0.000195263,0.0003652489,0.0001025074,0.0002355003,0.0003376618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006973391,"about_ca_system_score_gemma":0.00007581891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000439964,"about_ca_topic_score_gemma":0.00017438,"domain_scores_codex":[0.9970166,0.0002286683,0.0008072702,0.0009046941,0.0006322346,0.0004105016],"domain_scores_gemma":[0.9976884,0.0001250153,0.0005054501,0.001054601,0.0002352492,0.0003913214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001956903,0.001073752,0.008907791,0.00001895154,0.005740746,0.00001518548,0.0002965829,0.005380972,0.9360837,0.002581125,0.001603581,0.03810192],"study_design_scores_gemma":[0.0004082609,0.00007872856,0.04976462,0.000009744443,0.03602417,0.000007165866,0.00003986713,0.05821178,0.8498942,0.0003638313,0.004661099,0.0005364845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6557999,0.01030906,0.3029029,0.01411148,0.005504793,0.007989791,0.0003557839,0.001558774,0.001467567],"genre_scores_gemma":[0.9969888,0.0000138136,0.00201731,0.0004486819,0.00009668964,0.0002955011,0.00006094873,0.00004015401,0.00003804317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.341189,"threshold_uncertainty_score":0.9999702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538439306062507,"score_gpt":0.2822894896907511,"score_spread":0.2469050966301261,"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."}}