{"id":"W24235702","doi":"10.1007/978-3-642-22450-8_20","title":"Improving CS-MNS through a Bias Factor: Analysis, Simulation and Implementation","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Testbed; Computer science; Divergence (linguistics); Clock synchronization; Protocol (science); Synchronization (alternating current); Factor (programming language); MATLAB; A priori and a posteriori; Convergence (economics); Real-time computing; Wireless sensor network; Algorithm; Computer network; Operating system","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":[0.00214381,0.000542069,0.0005936702,0.000471146,0.000503994,0.0008930758,0.001168851,0.0008082299,0.00666499],"category_scores_gemma":[0.01197969,0.0002048197,0.0002740624,0.0008032753,0.000577938,0.001774326,0.0008753713,0.001015331,0.001029584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309895,"about_ca_system_score_gemma":0.002009862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008005206,"about_ca_topic_score_gemma":0.01184351,"domain_scores_codex":[0.9989082,0.0003537613,0.0000442632,0.0001240913,0.0004192293,0.0001503666],"domain_scores_gemma":[0.9930795,0.004247066,0.0002278299,0.0008596692,0.001422566,0.0001633923],"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":[0.001714768,0.0006277385,0.004979787,0.0002703284,0.0001039032,0.0000757748,0.0001665913,0.5602208,0.02145926,0.05257174,0.00758351,0.3502258],"study_design_scores_gemma":[0.00004664305,0.0001002379,0.0002086624,0.000009657234,0.00001666893,0.00003889825,0.00002038553,0.9883692,0.006798489,0.003097559,0.001285009,0.000008501893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08251547,0.0006515543,0.9067889,0.000432175,0.0001937036,0.00007986592,0.0001212353,0.002606742,0.006610276],"genre_scores_gemma":[0.6695508,0.0002729349,0.325227,0.000178409,0.00006308807,0.00006328572,0.0001391418,0.0002520662,0.004253245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008005206,"threshold_uncertainty_score":0.02229661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03770061390782004,"score_gpt":0.2908805187426449,"score_spread":0.2531799048348248,"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."}}