{"id":"W4389077444","doi":"10.23919/cnsm59352.2023.10327808","title":"Leveraging Spatiotemporal Relations for Predicting Potential Link Failures","year":2023,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Data mining; Metric (unit); Aggregate (composite); Sliding window protocol; Feature (linguistics); Encoder; Artificial intelligence; Relevance (law); Machine learning; Window (computing)","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":[0.0004956697,0.00007762105,0.00009330617,0.0001066283,0.0003227943,0.0001080536,0.0003053506,0.00006318773,0.00001210318],"category_scores_gemma":[0.0000965229,0.000063834,0.00007874476,0.0004051356,0.00001682945,0.0004866698,0.0001273699,0.00007664524,0.0001404894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002598536,"about_ca_system_score_gemma":0.0000676528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008453405,"about_ca_topic_score_gemma":0.000007210332,"domain_scores_codex":[0.9990721,0.00002255043,0.0002293299,0.0002685387,0.0001778071,0.0002297155],"domain_scores_gemma":[0.9993632,0.000125042,0.00005669077,0.0003173432,0.0000908584,0.00004688371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003076316,0.0001011593,0.5392929,0.0004873428,0.0001653231,0.00002374677,0.01178893,0.06602582,0.0009861829,0.03266234,0.08176372,0.2666718],"study_design_scores_gemma":[0.0003180938,0.00004307104,0.04689973,0.00002443197,0.000004884553,0.000005145816,0.0001216317,0.9412449,0.0003978474,0.004139766,0.006658394,0.0001420893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1025458,0.00001169882,0.8886667,0.005764688,0.00093659,0.0002904022,0.000001984677,0.001214128,0.0005679916],"genre_scores_gemma":[0.9630209,0.000001749656,0.03513899,0.00006521421,0.0002777598,0.00004408387,0.00001277259,0.000006715978,0.001431819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8752191,"threshold_uncertainty_score":0.2603075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920238890751972,"score_gpt":0.2556799721094491,"score_spread":0.2364775832019294,"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."}}