{"id":"W172647862","doi":"","title":"Managing Distributed MARF's Nodes with SNMP.","year":2008,"lang":"en","type":"article","venue":"Parallel and Distributed Processing Techniques and Applications","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Simple Network Management Protocol; Computer network; Distributed computing; Network management","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":[0.0006858304,0.0001783078,0.0002200669,0.0001355628,0.001124452,0.000526576,0.0004176396,0.00005125414,0.00001457482],"category_scores_gemma":[0.00005627288,0.0001254253,0.00002860282,0.0009511245,0.0003824629,0.0002769969,0.0003077066,0.0001139847,0.00000888986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001625079,"about_ca_system_score_gemma":0.00003639749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000341782,"about_ca_topic_score_gemma":0.000004529997,"domain_scores_codex":[0.9981174,0.00003335153,0.0003735455,0.0007511301,0.0004568722,0.0002676627],"domain_scores_gemma":[0.9987723,0.0001355074,0.0001896905,0.0005515739,0.0002000905,0.0001508214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001238086,0.0002858377,0.02037702,0.00009847655,0.00003226613,0.0000496915,0.0002998967,0.0003666354,0.00007043568,0.01634873,0.03342147,0.9285257],"study_design_scores_gemma":[0.0007122706,0.0001213108,0.01719559,0.0001233214,0.00006322193,0.0004840855,0.0009880501,0.02779632,0.0002300614,0.08712397,0.8644238,0.0007379644],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008435456,0.0007271934,0.9855947,0.001799821,0.00001030161,0.0003622635,0.0002488674,0.0003801901,0.002441203],"genre_scores_gemma":[0.9631757,0.00029693,0.03524776,0.0001001618,0.00006070759,0.0002365661,0.0004055286,0.00001094548,0.0004657699],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9547402,"threshold_uncertainty_score":0.8648487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06243017987076573,"score_gpt":0.3352453648993419,"score_spread":0.2728151850285762,"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."}}