{"id":"W7117167655","doi":"10.1002/alz70856_099373","title":"Benchmarking the AI‐based diagnostic potential of plasma proteomics for neurodegenerative disease in 17,710 people","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"","keywords":"Disease; Proteomics; Benchmarking; Neurodegeneration; Dementia; Degenerative 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":[0.003266592,0.001343065,0.0005722026,0.0007615846,0.0002910555,0.0007703846,0.0007955161,0.0009499024,0.001020867],"category_scores_gemma":[0.005043196,0.000275001,0.0007898746,0.0003896705,0.0004789348,0.0006906761,0.001215785,0.0009712888,0.0006962067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007328849,"about_ca_system_score_gemma":0.0006286046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006980577,"about_ca_topic_score_gemma":0.006451237,"domain_scores_codex":[0.9993494,0.0002381386,0.0000355709,0.000234066,0.00007151692,0.00007128825],"domain_scores_gemma":[0.9987509,0.0006385016,0.00008641225,0.0001703764,0.0002124749,0.0001412504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004745525,0.001474693,0.6253013,0.000409279,0.002460033,0.0006282058,0.0004438159,0.1886884,0.006751894,0.000872026,0.0133863,0.1548387],"study_design_scores_gemma":[0.0001737511,0.001549761,0.144225,0.00008285181,0.0004379818,0.000605473,0.0002782095,0.8391916,0.006863864,0.003931413,0.002580949,0.00007910918],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988376,0.0005182652,0.006042112,0.0003559545,0.00006570585,0.00006150793,0.00306504,0.0004292429,0.001086079],"genre_scores_gemma":[0.9902698,0.0001382294,0.003768089,0.0001130141,0.00002999631,0.00004715784,0.005060408,0.00002125915,0.0005521281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006980577,"threshold_uncertainty_score":0.01727557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011197588617002,"score_gpt":0.2741321510623421,"score_spread":0.2629345624453401,"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."}}