{"id":"W7117242169","doi":"10.1002/alz70855_107804","title":"ADAPT: Atlas‐Driven Access to Postmortem Tissue","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neuroinformatics; Biorepository; Identification (biology); Interface (matter); Brain tissue; SNOMED CT; Compatibility (geochemistry); Profiling (computer programming)","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":[0.006550861,0.002086742,0.001114281,0.005498365,0.0008315959,0.003055306,0.003642285,0.001166268,0.1006034],"category_scores_gemma":[0.01777197,0.001475132,0.001563929,0.00279847,0.0007374687,0.002871257,0.008568581,0.001698968,0.04637097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008927823,"about_ca_system_score_gemma":0.002308107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002338547,"about_ca_topic_score_gemma":0.004199481,"domain_scores_codex":[0.9982275,0.0003260873,0.0002465096,0.0005010934,0.0005756082,0.0001231133],"domain_scores_gemma":[0.9916196,0.002495965,0.0005830002,0.003207086,0.001515243,0.0005791199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002241221,0.000138852,0.006502411,0.001978452,0.0004117237,0.002257499,0.001198356,0.004369176,0.01907638,0.008951293,0.7104163,0.2424584],"study_design_scores_gemma":[0.0007087968,0.0002679091,0.01674302,0.0007092181,0.0003051601,0.004416415,0.0007962578,0.0463107,0.05237599,0.05094867,0.8259508,0.0004670399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01022039,0.0009426576,0.4123875,0.0009357454,0.0007091801,0.00123323,0.1439125,0.4102758,0.01938305],"genre_scores_gemma":[0.08740164,0.001404644,0.6052945,0.00118526,0.000536046,0.00484869,0.1856707,0.09661239,0.01704619],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1006034,"threshold_uncertainty_score":0.3365518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05868666881967155,"score_gpt":0.326473176473977,"score_spread":0.2677865076543055,"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."}}