{"id":"W4412487461","doi":"10.1002/hbm.70254","title":"Brain Age Prediction: Deep Models Need a Hand to Generalize","year":2025,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute; McGill University; Montreal Neurological Institute and Hospital","funders":"Fondation Brain Canada","keywords":"Neuroimaging; Artificial intelligence; Generalization; Computer science; Preprocessor; Robustness (evolution); Deep learning; Machine learning; Alzheimer's Disease Neuroimaging Initiative; Feature engineering; Data pre-processing; Psychology; Medicine; Dementia; Disease; Mathematics; Neuroscience; Pathology","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":[0.002266907,0.001838301,0.001109611,0.0003995758,0.0003592032,0.001253393,0.001436791,0.001728647,0.001863943],"category_scores_gemma":[0.007226511,0.0005971657,0.0008243914,0.0004695703,0.0008771791,0.00275787,0.001558379,0.00379939,0.001184675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006274634,"about_ca_system_score_gemma":0.001114071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007512316,"about_ca_topic_score_gemma":0.007551936,"domain_scores_codex":[0.9995409,0.0001152858,0.00003175006,0.0001581344,0.0000971208,0.00005691204],"domain_scores_gemma":[0.9983569,0.000814873,0.0001244719,0.0004159735,0.0002240834,0.00006369771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001810851,0.0001274709,0.005446049,0.0001524472,0.0001831063,0.000164971,0.0001409081,0.6523258,0.01129286,0.006182407,0.009253738,0.3145491],"study_design_scores_gemma":[0.00001646993,0.00006990085,0.001068706,0.00004261738,0.00003208111,0.00005625145,0.00002887425,0.9787431,0.003837273,0.01390109,0.002184605,0.00001886102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1114417,0.003013051,0.8694425,0.005891531,0.0003300914,0.0001147308,0.0008980861,0.00472362,0.004144739],"genre_scores_gemma":[0.7826431,0.002196086,0.2045485,0.002537959,0.0002827438,0.0002272853,0.00182147,0.0004851884,0.005257652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007512316,"threshold_uncertainty_score":0.01493716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07413839746709001,"score_gpt":0.2876606696924713,"score_spread":0.2135222722253813,"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."}}