{"id":"W2823396358","doi":"10.1103/physreve.98.012203","title":"Phase drift on networks of coupled crystal oscillators for precision timing","year":2018,"lang":"en","type":"article","venue":"Physical review. E","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada","keywords":"Synchronization (alternating current); Computer science; Global Positioning System; Phase (matter); Satellite; Synchronization networks; Ranging; Physics; Real-time computing; Topology (electrical circuits); Telecommunications; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003752844,0.0004072292,0.0004616102,0.0004943878,0.0005082524,0.0007164149,0.000629338,0.0008568133,0.002544292],"category_scores_gemma":[0.001724723,0.000271915,0.0005227752,0.0003465758,0.0009950645,0.001279945,0.000636465,0.0007949273,0.0002417343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009443221,"about_ca_system_score_gemma":0.0004844051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00214612,"about_ca_topic_score_gemma":0.001811295,"domain_scores_codex":[0.9998714,0.00004648272,0.000003428547,0.00002215418,0.00004231715,0.00001416994],"domain_scores_gemma":[0.9996639,0.0002134637,0.00004970726,0.00002356462,0.00003101253,0.00001834815],"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":[0.00004126434,0.00002792388,0.0005626384,0.00007849026,0.00002874971,0.00008808081,0.00008729889,0.7069506,0.006301047,0.2801308,0.0009314884,0.004771645],"study_design_scores_gemma":[0.000006216863,0.00001125014,0.00008559702,0.000006333352,0.000004338357,0.00001620106,0.000009260449,0.968326,0.0002415783,0.03040103,0.00088684,0.000005271214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2287662,0.003727956,0.7213048,0.001856666,0.0004688879,0.0001160002,0.0001866248,0.0001688613,0.04340409],"genre_scores_gemma":[0.9449896,0.002813137,0.04006008,0.0002195019,0.0001815092,0.0002004878,0.0001011,0.0000678104,0.01136682],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002544292,"threshold_uncertainty_score":0.008511484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02708081700089083,"score_gpt":0.3632311886827112,"score_spread":0.3361503716818204,"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."}}