{"id":"W4389448689","doi":"10.1007/s12559-023-10224-6","title":"Classification of Developmental and Brain Disorders via Graph Convolutional Aggregation","year":2023,"lang":"en","type":"article","venue":"Cognitive Computation","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Graph; Discriminative model; Artificial intelligence; Neuroimaging; Population; Convolutional neural network; Feature learning; Power graph analysis; Machine learning; Pattern recognition (psychology); Theoretical computer science; Neuroscience; Psychology; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001836333,0.00008745684,0.0000875289,0.0003190163,0.0001695802,0.0000223479,0.00004737774,0.00004001247,0.00001895392],"category_scores_gemma":[0.0005548532,0.00009837768,0.00002441599,0.0008817402,0.000283622,0.0002032267,0.00005847451,0.00008384886,0.00009987742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003545756,"about_ca_system_score_gemma":0.00006307065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001131574,"about_ca_topic_score_gemma":0.00001805351,"domain_scores_codex":[0.998863,0.0001543243,0.0001895227,0.0003022773,0.0003234094,0.0001674092],"domain_scores_gemma":[0.9990465,0.0007407228,0.0001041296,0.00002150455,0.00004453243,0.00004262808],"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":[0.0002011154,0.00025096,0.04982022,0.000131917,0.00002963452,0.000006315495,0.002341029,0.0001409088,0.2624655,0.03054387,0.0003967698,0.6536717],"study_design_scores_gemma":[0.0008253488,0.00007950696,0.8113701,0.00004004138,0.000005602905,0.00000697403,0.0003749229,0.09586067,0.01961989,0.07166135,0.00001650149,0.0001391132],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.869787,0.00002147994,0.1271785,0.00162922,0.00005515441,0.0003724289,0.00002092673,0.00009717682,0.0008380944],"genre_scores_gemma":[0.9995416,0.00004825816,0.00009573925,0.00007886091,0.000009449871,0.00003761591,0.0001249859,0.0000122432,0.00005128663],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7615498,"threshold_uncertainty_score":0.4011725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04899576624729905,"score_gpt":0.3225858034645564,"score_spread":0.2735900372172573,"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."}}