{"id":"W4411413890","doi":"10.3389/fnetp.2025.1585019","title":"Yale Brain Atlas to interactively explore multimodal structural and functional neuroimaging data","year":2025,"lang":"en","type":"article","venue":"Frontiers in Network Physiology","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"National Institutes of Health; Swebilius Foundation","keywords":"Neuroimaging; Atlas (anatomy); Functional neuroimaging; Cognitive science; Computer science; Psychology; Neuroscience; Medicine; Anatomy","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":[0.002269935,0.001363351,0.001255959,0.004234978,0.0007117348,0.002306331,0.003151047,0.001084795,0.09545692],"category_scores_gemma":[0.006760773,0.001185935,0.001261755,0.004891966,0.0006076507,0.002695247,0.004169567,0.001945262,0.02265096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001267212,"about_ca_system_score_gemma":0.002830888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01064651,"about_ca_topic_score_gemma":0.0205838,"domain_scores_codex":[0.9992746,0.0001645113,0.0001034766,0.000199886,0.0002000972,0.00005740638],"domain_scores_gemma":[0.9976774,0.00115509,0.000166259,0.0005936665,0.0002521776,0.0001554419],"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":[0.0006504167,0.00008964403,0.002996123,0.002182619,0.0003525176,0.0007795007,0.0009485346,0.003825862,0.007242946,0.03395078,0.8397155,0.1072655],"study_design_scores_gemma":[0.0002313574,0.00007110855,0.009146449,0.000427735,0.0002126329,0.002349202,0.0002766674,0.01333722,0.01256348,0.06261177,0.8985828,0.0001895071],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.008633408,0.002087974,0.3224652,0.001345073,0.0003744276,0.0005577797,0.4995033,0.1373895,0.02764342],"genre_scores_gemma":[0.0737916,0.002513864,0.4898119,0.0008819476,0.0001993293,0.004935878,0.3611553,0.05413425,0.01257588],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.09545692,"threshold_uncertainty_score":0.3193352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04599713661871863,"score_gpt":0.2946360709017591,"score_spread":0.2486389342830405,"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."}}