{"id":"W7096452452","doi":"","title":": Canada (2011)" Design and Performance Analysis of CAPE based on Discontinuous Incremental Checkpoints","year":2011,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Cape; Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002899388,0.0002231205,0.0001604629,0.0003360038,0.0004632103,0.0007392038,0.0006241689,0.0001889873,0.005998271],"category_scores_gemma":[0.0006024029,0.0001558997,0.0001419423,0.0002800983,0.0004878218,0.0002886772,0.0002211881,0.000287577,0.0006720219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002555034,"about_ca_system_score_gemma":0.002802791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1115369,"about_ca_topic_score_gemma":0.1509602,"domain_scores_codex":[0.9998465,0.0000143016,0.000004313558,0.00003076636,0.00007413013,0.00003003583],"domain_scores_gemma":[0.9996331,0.00004149328,0.00002048692,0.00004340499,0.0002218963,0.00003965472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001242398,0.0002413211,0.01256355,0.0004424274,0.00005268573,0.00061408,0.0004739921,0.302533,0.2590102,0.03401259,0.02767586,0.3611378],"study_design_scores_gemma":[0.000164339,0.0008136167,0.008548035,0.00005852161,0.00009199071,0.0002259735,0.0002060656,0.7477523,0.1651893,0.003438861,0.07345895,0.0000521333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4418718,0.001686552,0.4521866,0.001508105,0.000240689,0.0005558099,0.001118014,0.008141967,0.09269044],"genre_scores_gemma":[0.8992165,0.0003821,0.07324201,0.00008361442,0.00001187401,0.00008376758,0.0004059472,0.0002929364,0.02628119],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1115369,"threshold_uncertainty_score":0.2217753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027130590445097,"score_gpt":0.2069146038356563,"score_spread":0.1797840133905593,"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."}}