{"id":"W4413878449","doi":"10.1038/s42003-025-08774-6","title":"Anatomical insights into the superior longitudinal system from integrative in- vivo and ex-vivo mapping","year":2025,"lang":"en","type":"article","venue":"Communications Biology","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Provincia Autonoma di Trento","keywords":"Ex vivo; In vivo; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009777057,0.0004496962,0.0002130983,0.0007081928,0.0001864864,0.00060836,0.0002857785,0.0002949906,0.001655686],"category_scores_gemma":[0.001443406,0.0002912862,0.0002979051,0.0004173508,0.0005989912,0.0007393213,0.0003997217,0.0003535805,0.0003409355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001947791,"about_ca_system_score_gemma":0.0003940362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001297394,"about_ca_topic_score_gemma":0.003894691,"domain_scores_codex":[0.9998745,0.00004832135,0.00001020766,0.00003282145,0.00002273311,0.00001139042],"domain_scores_gemma":[0.9996004,0.0001472076,0.00007939603,0.0001002164,0.00004809976,0.00002478522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002642933,0.00008540864,0.04799131,0.0005985744,0.0002369281,0.0009802189,0.001771838,0.03297386,0.7834408,0.01203187,0.0008162005,0.1188087],"study_design_scores_gemma":[0.00007027789,0.001023291,0.3577595,0.0003294259,0.0004451368,0.008859945,0.001350694,0.3098381,0.2476324,0.05129142,0.02123335,0.0001664434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4850717,0.0007348188,0.5115104,0.0001446583,0.00001768888,0.00004678866,0.000516961,0.0004025279,0.001554538],"genre_scores_gemma":[0.8695349,0.0006504221,0.1283879,0.00003413079,0.00001445724,0.00005325811,0.0005132323,0.0001092981,0.0007024506],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001655686,"threshold_uncertainty_score":0.005538881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0664635604551278,"score_gpt":0.3751419750123706,"score_spread":0.3086784145572428,"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."}}