{"id":"W3102841078","doi":"10.1002/hbm.25253","title":"Patch‐wise brain age longitudinal reliability","year":2020,"lang":"en","type":"article","venue":"Human Brain Mapping","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Pfizer Canada; Fonds de Recherche du Québec - Santé; Alzheimer's Society; Pfizer","keywords":"Longitudinal study; Reliability (semiconductor); Magnetic resonance imaging; Longitudinal data; Neuroimaging; Volunteer; Psychology; Computer science; Audiology; Statistics; Medicine; Data mining; Mathematics; Neuroscience; Radiology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001918706,0.0001583991,0.0002541171,0.0000495608,0.000227588,0.00002628294,0.0001519121,0.00005169092,0.0001475743],"category_scores_gemma":[0.0004195412,0.0001593897,0.0001106145,0.0002649902,0.0001254701,0.00007385271,0.0001156478,0.0003412619,0.0000497889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004718853,"about_ca_system_score_gemma":0.00002271171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001829797,"about_ca_topic_score_gemma":0.000002466017,"domain_scores_codex":[0.9987545,0.00003780183,0.0002835095,0.000496419,0.0001730436,0.0002547352],"domain_scores_gemma":[0.9990726,0.0001215406,0.0000804231,0.0004741554,0.00004870576,0.0002025535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006241151,0.0002798199,0.07049661,0.0005510494,0.0000360772,0.0004840711,0.001959494,0.00003190104,0.6190274,0.02258652,0.279878,0.004606728],"study_design_scores_gemma":[0.001192134,0.0002800326,0.3919099,0.0002066826,0.0000346803,0.00005480626,0.0001706716,0.001119752,0.00100972,0.02077255,0.5828074,0.0004417019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5650093,0.00006823201,0.1622975,0.2593719,0.00003921285,0.001283029,0.00001611839,0.001745155,0.01016957],"genre_scores_gemma":[0.9669325,0.000004173567,0.01369194,0.01819986,0.0002813797,0.00006059346,0.00004419099,0.0000367927,0.0007485756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6180177,"threshold_uncertainty_score":0.6499724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1776090291591786,"score_gpt":0.3756412571497676,"score_spread":0.198032227990589,"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."}}