{"id":"W2098337892","doi":"10.1007/3-540-45401-2_10","title":"Correcting Errors in Message Passing Systems","year":2001,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Debugger; Message passing; Debugging; Abstraction; Programming language; Distributed computing; Parallel computing; Theoretical computer science","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":[0.001626485,0.0005546703,0.0006667892,0.001566376,0.0002934244,0.0009138363,0.003113026,0.0003987103,0.000007688252],"category_scores_gemma":[0.0001396433,0.0005512477,0.0001083232,0.001275151,0.000335726,0.0006273218,0.00116753,0.001096106,0.00001717614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005447517,"about_ca_system_score_gemma":0.0004433276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001290147,"about_ca_topic_score_gemma":0.00007355832,"domain_scores_codex":[0.9958142,0.00009123038,0.0007973795,0.001595666,0.0008865976,0.0008149431],"domain_scores_gemma":[0.997474,0.0005005185,0.0004606992,0.001212548,0.0002030208,0.0001492508],"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":[0.000002417382,0.00002246872,0.0002532295,0.00003375907,0.000004501205,0.0001965205,0.0006631273,0.6139554,0.00001307292,0.00505081,0.00004037511,0.3797643],"study_design_scores_gemma":[0.0001838954,0.00006856222,0.00006326767,0.001132811,0.000002896502,0.0002363835,4.76933e-7,0.9790432,0.0002378532,0.01753241,0.0008367608,0.000661482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00009278089,0.0007319034,0.981205,0.0002511996,0.002431078,0.0003825247,9.960072e-7,0.0005672391,0.01433721],"genre_scores_gemma":[0.3986593,0.00008972189,0.5989788,0.0007378953,0.0004867992,0.00001778829,0.000005191409,0.00006747957,0.0009569398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3985666,"threshold_uncertainty_score":0.9996939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02131431841208247,"score_gpt":0.2605144335563082,"score_spread":0.2392001151442257,"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."}}