{"id":"W4402791353","doi":"10.1007/978-3-031-73370-3","title":"Recent Advances in the Message Passing Interface","year":2024,"lang":"en","type":"book","venue":"Lecture notes in computer science","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Los Alamos National Laboratory; Sandia National Laboratories; Lawrence Livermore National Laboratory; University of Illinois at Urbana-Champaign; Technische Universität München; Universität Stuttgart; Technische Universität Wien; Stony Brook University; RWTH Aachen University; Ohio State University; Queen's University; Universidad Carlos III de Madrid; RIKEN; Nvidia; Kungliga Tekniska Högskolan; Université Grenoble Alpes; Cisco Systems","keywords":"Computer science; Message passing; Interface (matter); Message Passing Interface; Programming language; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.003619002,0.0005830996,0.0005854504,0.001113783,0.0001716813,0.001646743,0.007983454,0.0003339856,0.000005702814],"category_scores_gemma":[0.0001664221,0.0004060214,0.0001158487,0.002807589,0.0005789889,0.001311199,0.001674021,0.001766893,0.00005296486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009980332,"about_ca_system_score_gemma":0.001143405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009042787,"about_ca_topic_score_gemma":0.0001615632,"domain_scores_codex":[0.9948242,0.0003435742,0.0007620235,0.001820113,0.001422009,0.000828042],"domain_scores_gemma":[0.9963903,0.001084467,0.0002746482,0.002014525,0.0001508428,0.00008522042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000002060834,0.0000284347,0.00000986627,0.000136602,0.000004003357,0.0002412266,0.004028749,0.004263398,0.00007025831,0.006401284,0.001097936,0.9837162],"study_design_scores_gemma":[0.0001750832,0.0002558669,0.00002068774,0.004059081,0.000009576563,0.0003135889,0.000002866527,0.2573611,0.003438923,0.5537482,0.1795031,0.001111997],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000007750127,0.03203927,0.9535539,0.001985245,0.002599761,0.0007187786,0.000002312724,0.0003976909,0.00869532],"genre_scores_gemma":[0.07887015,0.006260874,0.9041238,0.006354595,0.00193003,0.0002861121,0.00000840118,0.000168001,0.001998044],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9826042,"threshold_uncertainty_score":0.9998392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851665724161734,"score_gpt":0.2947476494754612,"score_spread":0.2762309922338438,"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."}}