{"id":"W4415352585","doi":"10.1007/s00259-025-07579-3","title":"Comparing and combining TSPO-PET tracers in tauopathies","year":2025,"lang":"en","type":"article","venue":"European Journal of Nuclear Medicine and Molecular Imaging","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Montreal Neurological Institute and Hospital","funders":"Cambridge Centre for Parkinson-Plus; NIHR Cambridge Biomedical Research Centre; Fonds de Recherche du Québec - Santé; Dementias Platform UK; UK Dementia Research Institute; Ludwig-Maximilians-Universität München; Deutsches Zentrum für Neurodegenerative Erkrankungen; Deutsche Forschungsgemeinschaft; Canadian Institutes of Health Research; Guarantors of Brain; Novo Nordisk; Eisai; McGill University; Manfred Lautenschläger-Stiftung; Wellcome Trust; Fondation Brain Canada; Alzheimer’s Research UK; TauRx Pharmaceuticals; Medical Research Council; Biogen","keywords":"Pipeline (software); Neuroinflammation; Neuroimaging; Tauopathy","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006071174,0.0008895234,0.001297152,0.001960329,0.0005576621,0.002118186,0.0008509913,0.0008478949,0.001018958],"category_scores_gemma":[0.008377843,0.0005311192,0.001238398,0.001371685,0.0006960894,0.0007465929,0.001907276,0.0008199622,0.0004517087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005545499,"about_ca_system_score_gemma":0.0007420354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002313052,"about_ca_topic_score_gemma":0.003485734,"domain_scores_codex":[0.9978168,0.0006406501,0.0002211628,0.0007471609,0.0004507734,0.0001233917],"domain_scores_gemma":[0.9975919,0.0005540572,0.0005110741,0.0004847782,0.000706432,0.0001518651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008440114,0.0005763918,0.3660268,0.00184007,0.00588563,0.0008125203,0.001939243,0.02633792,0.340042,0.001758819,0.003186845,0.2431536],"study_design_scores_gemma":[0.0005526457,0.004352999,0.6316808,0.0002635201,0.005501216,0.005068876,0.0009603152,0.08770029,0.2330414,0.01002693,0.02041217,0.0004387623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254475,0.002424524,0.06718592,0.0001498284,0.00006387459,0.0003476916,0.001786058,0.0009665941,0.001628016],"genre_scores_gemma":[0.9366108,0.0006302968,0.05804895,0.00010424,0.0000448946,0.0003193111,0.003078352,0.000419831,0.0007433394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006071174,"threshold_uncertainty_score":0.03210783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082882558695521,"score_gpt":0.2992867074343115,"score_spread":0.2784578818473563,"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."}}