{"id":"W2393764988","doi":"","title":"The Reason Analysis of Influencing Network Data Current Capacity","year":2009,"lang":"en","type":"article","venue":"China Printing and Packaging Study","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Character (mathematics); Flow (mathematics); Similarity (geometry); Set (abstract data type); Network analysis; Flow network; Computer science; Data mining; Artificial intelligence; Mathematics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001008859,0.0004619358,0.0003425108,0.003489531,0.0008365142,0.002141187,0.0006574064,0.0005114163,0.003928527],"category_scores_gemma":[0.009007135,0.0002688125,0.0005809706,0.00171314,0.0009189047,0.003092935,0.0005526235,0.0005094594,0.0004476938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002037931,"about_ca_system_score_gemma":0.001141685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008245751,"about_ca_topic_score_gemma":0.004706022,"domain_scores_codex":[0.9988334,0.0001440769,0.00007461563,0.0002552396,0.0005517853,0.0001409284],"domain_scores_gemma":[0.9952625,0.002085136,0.0004411241,0.0002989398,0.001722338,0.0001899416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006172242,0.0002601344,0.2637387,0.00103717,0.0004442569,0.002247795,0.005209119,0.109221,0.05197934,0.1664809,0.01495213,0.3838122],"study_design_scores_gemma":[0.00004820824,0.0001502313,0.1597584,0.000145489,0.0004697618,0.001216868,0.003509635,0.7008535,0.04280633,0.05554924,0.03522173,0.0002706643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6917945,0.001930962,0.2452539,0.00183741,0.0002656695,0.0004190799,0.001406759,0.002143953,0.05494785],"genre_scores_gemma":[0.9923793,0.0002662236,0.004759833,0.00003414669,0.00004365171,0.00004097587,0.0001901203,0.00004230744,0.002243419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008245751,"threshold_uncertainty_score":0.01639557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02904258786118149,"score_gpt":0.2811429341444533,"score_spread":0.2521003462832718,"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."}}