{"id":"W3092415961","doi":"10.1093/comnet/cnaa033","title":"Modelling the impact of structural directionality on connectome-based models of neural activity","year":2020,"lang":"en","type":"article","venue":"Journal of Complex Networks","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Trent University; Nottingham Trent University","keywords":"Connectome; Attractor; Directionality; Computer science; Connectomics; Neuroscience; Robustness (evolution); Modularity (biology); Artificial neural network; Network topology; Topology (electrical circuits); Artificial intelligence; Functional connectivity; Biology; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002420747,0.0001388805,0.0003448198,0.00005283405,0.00010247,0.00002635442,0.0002682515,0.00004506824,0.00003670106],"category_scores_gemma":[0.00009730348,0.00008232285,0.0003749354,0.0003164959,0.0001155371,0.0001959421,0.00003112218,0.0004329136,1.438676e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004375702,"about_ca_system_score_gemma":0.0000549463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005404386,"about_ca_topic_score_gemma":9.522877e-7,"domain_scores_codex":[0.9985723,0.0002901955,0.0004280947,0.0001444619,0.0003997163,0.0001652586],"domain_scores_gemma":[0.9980728,0.0007549711,0.0007836394,0.0001364411,0.0001576661,0.0000945023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001041511,0.00004059195,0.0003371187,0.00000839714,0.00001810251,0.00000301799,0.00003724765,0.965346,0.03170793,0.0005284876,0.0001049298,0.0008266394],"study_design_scores_gemma":[0.0004691813,0.0007176238,0.005831637,0.0000188044,0.00001570904,0.00001918375,0.000004282082,0.9879026,0.003226714,0.00171764,0.000004380142,0.00007224081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9306507,0.00001827733,0.06818251,0.0006679714,0.0002316771,0.0001048852,0.00002449655,0.000008655345,0.0001108646],"genre_scores_gemma":[0.9993492,0.000006603637,0.00007650546,0.0003201956,0.0002326249,4.708415e-7,0.000001116971,0.00001109402,0.000002151121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06869858,"threshold_uncertainty_score":0.3357028,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1374224000484529,"score_gpt":0.3135844440732542,"score_spread":0.1761620440248013,"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."}}