{"id":"W4321393097","doi":"10.48550/arxiv.2302.09055","title":"Geometric description of clustering in directed networks","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Natural Sciences and Engineering Research Council of Canada; Agencia Estatal de Investigación; Canada First Research Excellence Fund; Institució Catalana de Recerca i Estudis Avançats; Generalitat de Catalunya","keywords":"Cluster analysis; Computer science; Complex network; Generative grammar; Entropy (arrow of time); Reciprocity (cultural anthropology); Theoretical computer science; Topology (electrical circuits); Assortativity; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008316058,0.0004508138,0.0005987952,0.002547401,0.000568325,0.001162325,0.001260617,0.0008491044,0.001910689],"category_scores_gemma":[0.003880847,0.0003198738,0.0006428479,0.001295269,0.001289423,0.001938921,0.0009915932,0.0007119845,0.0004456575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001184018,"about_ca_system_score_gemma":0.0003780123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001688363,"about_ca_topic_score_gemma":0.001889601,"domain_scores_codex":[0.9994149,0.0002045617,0.00002532692,0.0001435742,0.0001489459,0.00006266141],"domain_scores_gemma":[0.998419,0.0007059074,0.0002974884,0.0002636795,0.0002079209,0.0001059852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002036829,0.0000158565,0.002715816,0.00009962518,0.00004327923,0.000133097,0.0002230181,0.391235,0.002145292,0.5885769,0.001818858,0.01297295],"study_design_scores_gemma":[0.000005044773,0.00001394027,0.001576939,0.00001789379,0.00001145763,0.000143074,0.00005552112,0.6276866,0.0004733311,0.3668377,0.003161031,0.00001742321],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1453429,0.001583745,0.8393149,0.0008149854,0.00005536068,0.00007665595,0.0008933526,0.0003209136,0.01159714],"genre_scores_gemma":[0.940479,0.001287777,0.05241895,0.0002058629,0.0001501012,0.0001271434,0.0009280936,0.0001369937,0.004266025],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002547401,"threshold_uncertainty_score":0.008590698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09324576034576544,"score_gpt":0.2033583726595142,"score_spread":0.1101126123137488,"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."}}