{"id":"W7006379491","doi":"","title":"Tolerância a Falhas em Aplicações Paralelas de Alto Desempenho","year":2015,"lang":"pt","type":"other","venue":"Lume (Universidade Federal do Rio Grande do Sul)","topic":"Academic Research in Diverse Fields","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Field (mathematics); Term (time); Stability (learning theory); Work (physics)","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":[0.005673985,0.0006007382,0.0003165356,0.001390815,0.00144299,0.004353053,0.001968924,0.001163845,0.02783397],"category_scores_gemma":[0.04097022,0.0004169871,0.0005108092,0.001146342,0.001228997,0.003055422,0.002215556,0.001713007,0.005290538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296003,"about_ca_system_score_gemma":0.003999074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008799843,"about_ca_topic_score_gemma":0.01202261,"domain_scores_codex":[0.9941025,0.001912863,0.0003121533,0.0008941385,0.002167714,0.0006105723],"domain_scores_gemma":[0.9660029,0.0139572,0.003524675,0.005998082,0.008913232,0.001603908],"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":[0.001422602,0.001443669,0.06687863,0.001235867,0.0001316898,0.0005032339,0.01394055,0.01101194,0.03553678,0.0292832,0.01932971,0.8192822],"study_design_scores_gemma":[0.0006170894,0.005408424,0.2266105,0.001875857,0.0008708292,0.002510424,0.04324005,0.1531505,0.1251485,0.05378642,0.3863547,0.0004267403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7352087,0.001272883,0.0856279,0.007506075,0.0003310893,0.0006226512,0.0007282231,0.0142416,0.1544608],"genre_scores_gemma":[0.9490999,0.0003264197,0.02988377,0.0003611804,0.00007976672,0.0001170586,0.0002819894,0.00057378,0.01927613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02783397,"threshold_uncertainty_score":0.0931139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04368002591294914,"score_gpt":0.3229527280988026,"score_spread":0.2792727021858534,"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."}}