{"id":"W4221046605","doi":"10.1016/j.cmpb.2022.106772","title":"Collaborative learning of graph generation, clustering and classification for brain networks diagnosis","year":2022,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Cluster analysis; Graph; Clustering coefficient; Artificial intelligence; Machine learning; Power graph analysis; Graph theory; Data mining; Pattern recognition (psychology); Theoretical computer science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001605017,0.00009200631,0.000204099,0.0001615992,0.0002879882,0.00002298927,0.00006136567,0.00002642493,0.000002395078],"category_scores_gemma":[0.0009165918,0.00008447917,0.00001852261,0.000719574,0.0002008914,0.00005378258,0.000171179,0.0001268393,1.644776e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002128492,"about_ca_system_score_gemma":0.00001149286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007446359,"about_ca_topic_score_gemma":0.000006706622,"domain_scores_codex":[0.9985175,0.0006775298,0.0002181721,0.000350325,0.0001093364,0.0001271528],"domain_scores_gemma":[0.9951319,0.004589525,0.0001178521,0.00007610051,0.00005338492,0.0000312796],"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":[0.00006013635,0.00008658061,0.01337782,0.00006000722,0.00001547255,0.00000149901,0.001761332,0.001808704,0.0178062,0.002115499,0.0008824439,0.9620243],"study_design_scores_gemma":[0.001216888,0.002015066,0.008546844,0.00004076627,0.00001594262,0.00001600525,0.0006295021,0.928307,0.001221459,0.001123167,0.0567001,0.0001672878],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05869028,0.00104684,0.933555,0.005454204,0.0005274698,0.000675978,0.000005269639,0.00002933824,0.00001562599],"genre_scores_gemma":[0.7268501,0.0003043101,0.2701021,0.001486952,0.0002776684,0.0009159805,0.00002295417,0.00001510485,0.00002480192],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.961857,"threshold_uncertainty_score":0.3444961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1103903200425594,"score_gpt":0.3712249846927169,"score_spread":0.2608346646501575,"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."}}