{"id":"W2948416843","doi":"10.48550/arxiv.1906.02359","title":"All Terminal Reliability Roots of Smallest Modulus","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Terminal (telecommunication); Reliability (semiconductor); Modulus; Mathematics; Reliability engineering; Computer science; Engineering; Physics; Computer network; Geometry; Thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002126329,0.0002827546,0.0004147824,0.0001285588,0.00002483589,0.00001687664,0.0004869819,0.0004057499,0.00008535177],"category_scores_gemma":[0.00005393166,0.0003321009,0.0002185726,0.0001827385,0.000113759,0.0001192926,0.0003473652,0.0004854037,0.00004553479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686614,"about_ca_system_score_gemma":0.00007105456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000147788,"about_ca_topic_score_gemma":0.00003746036,"domain_scores_codex":[0.998753,0.00005090679,0.0002766349,0.0005708226,0.00007030991,0.000278393],"domain_scores_gemma":[0.9985363,0.00004790263,0.0001279599,0.001029128,0.0001653312,0.00009341795],"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":[0.000040929,0.00004637184,0.004234993,0.0005664246,0.00005378303,0.00002160055,0.00005617434,0.9925498,0.00007472447,0.001868414,0.0003921955,0.00009455065],"study_design_scores_gemma":[0.0003488743,0.00003549282,0.007270688,0.0001251419,0.00009868986,0.000001938007,0.00004543623,0.9851403,0.0002112886,0.005805987,0.0005555747,0.0003605924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8589422,0.00004486829,0.132265,0.00002297037,0.0007945486,0.0004347268,0.00005195147,0.0002075537,0.007236151],"genre_scores_gemma":[0.9978275,0.00042127,0.000732343,0.00001264409,0.00003811525,0.000001098313,0.00006774207,0.00003243461,0.0008667941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1388853,"threshold_uncertainty_score":0.9999131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03317728080286578,"score_gpt":0.1651739576978969,"score_spread":0.1319966768950312,"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."}}