{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001014298,0.0001215803,0.0001885037,0.00004612737,0.00009547863,0.0001760389,0.0001317024,0.00003114768,0.00002634145],"category_scores_gemma":[0.00006981083,0.000108434,0.00003205072,0.0001734508,0.00005126359,0.0001340278,0.00009262058,0.0001738599,0.0000947029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002874956,"about_ca_system_score_gemma":0.0000706127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001927925,"about_ca_topic_score_gemma":0.00002542267,"domain_scores_codex":[0.9985921,0.0001523337,0.0002109588,0.0002939037,0.0002514217,0.0004992715],"domain_scores_gemma":[0.9989086,0.0006588128,0.00007686338,0.000190171,0.00003116159,0.000134405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002611709,0.0001369763,0.941633,0.0004907419,0.00006847483,0.00005357283,0.0002739321,0.03326946,0.004455897,0.005286225,0.003588566,0.01048193],"study_design_scores_gemma":[0.002419975,0.0002183793,0.960991,0.001254957,0.00001900116,0.000003770235,0.001083111,0.01773982,0.009289178,0.005073215,0.00134262,0.0005649904],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820582,0.00006177061,0.00359055,0.00004986381,0.0002837699,0.0005243179,0.00001953079,0.0000292357,0.01338272],"genre_scores_gemma":[0.9989666,6.591853e-7,0.0006128098,0.000005550873,0.0001945136,0.00002960696,0.00005816637,0.00001061043,0.0001214259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01935794,"threshold_uncertainty_score":0.4421811,"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."}}