{"id":"W6891824878","doi":"10.48550/arxiv.1409.5016","title":"Crafting networks to achieve, or not achieve, chaotic states","year":2014,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"AXYS Technologies (Canada)","funders":"","keywords":"Network topology; Topology (electrical circuits); Dimension (graph theory); Chaotic; Chain (unit); Clustering coefficient; Phase (matter); Phase transition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003153635,0.0002534529,0.0002985787,0.0003901541,0.0004184519,0.0008099469,0.0003947182,0.0004400891,0.002688033],"category_scores_gemma":[0.001880624,0.0002319857,0.0003161899,0.0002006189,0.0007924474,0.001456736,0.0007741381,0.0004403501,0.0002598158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004033816,"about_ca_system_score_gemma":0.0003158422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001160672,"about_ca_topic_score_gemma":0.001717537,"domain_scores_codex":[0.9999007,0.00002718409,0.000003879923,0.00002098065,0.00002009317,0.00002709449],"domain_scores_gemma":[0.9994234,0.0002189563,0.0001013947,0.0001543326,0.00003653216,0.00006533128],"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":[0.0002429068,0.000122964,0.003788506,0.0001714763,0.00008294459,0.0003309395,0.0004136382,0.6790484,0.0374947,0.2485005,0.002041345,0.02776168],"study_design_scores_gemma":[0.00002755262,0.0001588368,0.001257396,0.00002575575,0.00002251569,0.00008944768,0.0001669074,0.8889264,0.007645749,0.09935995,0.002297476,0.00002197544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8842989,0.0002443416,0.1067035,0.00039628,0.00005959035,0.00003003062,0.00006466571,0.0004191743,0.007783567],"genre_scores_gemma":[0.9824402,0.0001420302,0.0156193,0.00003137451,0.000009947608,0.00002958983,0.00005615387,0.00004462492,0.001626693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002688033,"threshold_uncertainty_score":0.008992314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03365818748279344,"score_gpt":0.1861184037349564,"score_spread":0.1524602162521629,"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."}}