{"id":"W4390597156","doi":"10.5383/juspn.17.02.006","title":"Some Results on Colored Network Contraction","year":2022,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Scalability; Leverage (statistics); Node (physics); Distributed computing; Graph; Theoretical computer science; Colored; Property (philosophy); Artificial intelligence; Engineering; Database","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001298131,0.0002221983,0.0006177287,0.0001286394,0.0005875489,0.0001290523,0.0002471092,0.00005705019,0.00006515697],"category_scores_gemma":[0.00001001451,0.0001957227,0.0002666998,0.0002730495,0.00004034067,0.0001644942,0.0001139572,0.0007832384,0.000001263077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001181813,"about_ca_system_score_gemma":0.00007026236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002180217,"about_ca_topic_score_gemma":0.000008046655,"domain_scores_codex":[0.9976167,0.0004228767,0.0009212532,0.0002370933,0.0004308607,0.0003711888],"domain_scores_gemma":[0.9976684,0.0004162369,0.001307104,0.0002391644,0.0002195575,0.0001494749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008397552,0.0001726769,0.004704455,0.000009127727,0.0004802308,0.00005074428,0.0002066453,0.8318949,0.00005407884,0.01343911,0.1427873,0.005360982],"study_design_scores_gemma":[0.007762637,0.007573065,0.01080722,0.0007703142,0.000980425,0.0007072656,0.005719202,0.3261796,0.00007100212,0.01299785,0.6248408,0.001590644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9004831,0.02847253,0.04020596,0.002103605,0.01462757,0.002418326,0.0002253462,0.0002134436,0.01125009],"genre_scores_gemma":[0.9887117,0.0001716171,0.00007562573,0.0001559446,0.01045548,0.00003645695,0.00002506147,0.00002733202,0.000340757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5057153,"threshold_uncertainty_score":0.7981341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261222803595091,"score_gpt":0.2470637104156848,"score_spread":0.2344514823797339,"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."}}