{"id":"W2964890137","doi":"","title":"Spatial and Network Effects in Distributed System Design","year":2019,"lang":"en","type":"article","venue":"APS March Meeting Abstracts","topic":"Scientific Research and Discoveries","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Variety (cybernetics); Focus (optics); Network topology; Topology (electrical circuits); Distributed computing; Theoretical computer science; Routing (electronic design automation); Computation; Observable; Artificial intelligence; Algorithm; Engineering","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":[0.002665386,0.000643047,0.0005198291,0.0009878192,0.001036527,0.001697285,0.0007019088,0.0008373425,0.004570639],"category_scores_gemma":[0.007293495,0.0005466351,0.0006610174,0.0007329196,0.003127352,0.003174179,0.002016955,0.001083978,0.0003126197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001915582,"about_ca_system_score_gemma":0.001133301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004196993,"about_ca_topic_score_gemma":0.004368139,"domain_scores_codex":[0.9981852,0.0009782867,0.00006807946,0.0001839336,0.0004524872,0.000131897],"domain_scores_gemma":[0.9960211,0.002498255,0.0004278572,0.0004639547,0.0004234972,0.000165348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003596825,0.00002141214,0.0009870596,0.00009688505,0.00003412096,0.0000979516,0.0001710827,0.5750146,0.001897502,0.4088772,0.000567035,0.01219917],"study_design_scores_gemma":[0.00002147755,0.00004339718,0.0004055679,0.00002393943,0.00002629447,0.0000385569,0.00006784464,0.5947065,0.0009529946,0.3990167,0.004679944,0.00001666038],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08800641,0.001706361,0.8587545,0.003165894,0.0002102681,0.00006313605,0.0001279055,0.0004188666,0.04754683],"genre_scores_gemma":[0.9228191,0.0009895989,0.07025437,0.0002074633,0.000128825,0.0001276678,0.00003546131,0.0001151529,0.005322288],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004570639,"threshold_uncertainty_score":0.01529032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01162928126104249,"score_gpt":0.2522827943068182,"score_spread":0.2406535130457757,"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."}}