{"id":"W7113611224","doi":"","title":"AAIC 2025 Poster: Centiloid levels predict altered brain microstructure","year":2025,"lang":"","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Brain function; Microstructure; Neuroimaging; Ageing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008630629,0.0008895861,0.0004804172,0.0008164607,0.0009129446,0.00163633,0.0004765549,0.001742233,0.1442927],"category_scores_gemma":[0.00180412,0.0003577442,0.0004863787,0.0004263415,0.0002101434,0.0004167139,0.0006965549,0.0009511739,0.02467691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006959949,"about_ca_system_score_gemma":0.000795918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006477839,"about_ca_topic_score_gemma":0.01200489,"domain_scores_codex":[0.9998419,0.00003299198,0.0000121541,0.00002992944,0.00004319778,0.00003985859],"domain_scores_gemma":[0.999037,0.0001012191,0.00009834731,0.00005900037,0.0002906239,0.0004138697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01917855,0.0009569191,0.108842,0.0008681457,0.0004707936,0.00109813,0.000238436,0.0002669702,0.00974599,0.0007065144,0.7718763,0.08575129],"study_design_scores_gemma":[0.001663087,0.002354577,0.8422676,0.0006710926,0.0006007855,0.002453292,0.0005676098,0.0005822435,0.007199862,0.002782151,0.1387091,0.0001486152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4833221,0.02279916,0.002197846,0.03813988,0.02308919,0.001539297,0.1371562,0.001264556,0.2904918],"genre_scores_gemma":[0.6398002,0.004714815,0.002436213,0.004332862,0.009056943,0.0006188485,0.0452716,0.0002995486,0.293469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1442927,"threshold_uncertainty_score":0.4827071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383775058142843,"score_gpt":0.2653072511867123,"score_spread":0.2514695006052839,"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."}}