{"id":"W4411016914","doi":"10.1007/s11682-025-01026-5","title":"Combining functional, structural, and morphological networks for multimodal classification of developing autistic brains","year":2025,"lang":"en","type":"article","venue":"Brain Imaging and Behavior","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"Natural Science Foundation of Sichuan Province","keywords":"Neuropsychology; Neuroscience; Functional connectivity; Psychology; Autism; Cognitive psychology; Cognitive science; Computer science; Developmental psychology; Cognition","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":[0.001014811,0.0006594235,0.0004002248,0.003430052,0.0003323358,0.001059011,0.0003559201,0.0004975491,0.000873215],"category_scores_gemma":[0.002017991,0.0002287768,0.0005160061,0.001093701,0.0003975358,0.0009832634,0.0007793906,0.0003970955,0.0002119274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264377,"about_ca_system_score_gemma":0.0004206859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00330558,"about_ca_topic_score_gemma":0.007702098,"domain_scores_codex":[0.9998137,0.00006051108,0.00001154414,0.00005760988,0.00003056226,0.00002613226],"domain_scores_gemma":[0.9993525,0.0002676541,0.0001418306,0.00008578374,0.00009213895,0.00006011444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007655229,0.0002290878,0.2804394,0.00031662,0.0007683817,0.0006641322,0.0006910454,0.05675855,0.1806607,0.004620566,0.002315188,0.4717708],"study_design_scores_gemma":[0.00002477585,0.0001921034,0.351898,0.0001091962,0.0004325804,0.001523612,0.0007887512,0.5915585,0.02531785,0.02645756,0.001629762,0.00006732159],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8361522,0.001134604,0.1578519,0.0003745444,0.00001486076,0.00007128209,0.001249295,0.0007186334,0.002432768],"genre_scores_gemma":[0.9654639,0.0003848208,0.03291969,0.00002567532,0.00002120575,0.00004606169,0.0006407075,0.00005883352,0.000439056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003430052,"threshold_uncertainty_score":0.006572664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05861736311772986,"score_gpt":0.3470993369342975,"score_spread":0.2884819738165676,"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."}}