{"id":"W7126054030","doi":"10.1109/bibm66473.2025.11357058","title":"Dynamic Node Weight Aware Directed Hypergraph Network for Major Depressive Disorder Identification","year":2025,"lang":"","type":"article","venue":"","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Neurological Institute and Hospital","funders":"","keywords":"Hypergraph; Node (physics); Pairwise comparison; Identification (biology); Discriminative model; Representation (politics); Graph; Directed graph; Artificial neural network","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":[0.000364097,0.0007941301,0.0005092783,0.001494725,0.0003728123,0.0005270276,0.000946079,0.0008456405,0.001313159],"category_scores_gemma":[0.002282611,0.0003218361,0.0007768972,0.001124558,0.000323488,0.001199616,0.0006175608,0.0009520222,0.0005489332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006896543,"about_ca_system_score_gemma":0.0006592448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009014825,"about_ca_topic_score_gemma":0.01711248,"domain_scores_codex":[0.9997192,0.00007800833,0.00001379779,0.0001025028,0.00005484281,0.00003166113],"domain_scores_gemma":[0.9993739,0.0003096218,0.0001018371,0.0000797789,0.00009537809,0.00003946571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003112546,0.0002470894,0.02809038,0.0004876351,0.0004581612,0.0008275414,0.0003775966,0.4034061,0.01758934,0.02470346,0.02508259,0.4984188],"study_design_scores_gemma":[0.00001322759,0.00003934577,0.002923082,0.00003356374,0.00008937281,0.0002479507,0.00005316568,0.9653062,0.002266582,0.02473985,0.004267918,0.00001988656],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08611488,0.00280353,0.9019397,0.0009536238,0.0001112783,0.0001063511,0.002198901,0.002103996,0.003667766],"genre_scores_gemma":[0.8044003,0.00200825,0.1783489,0.0006942379,0.0001986051,0.000185511,0.00648572,0.0002436835,0.007434775],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009014825,"threshold_uncertainty_score":0.01792467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01089762107240975,"score_gpt":0.263199477088094,"score_spread":0.2523018560156843,"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."}}