{"id":"W2901356348","doi":"10.1145/3274895.3274961","title":"DISTIL","year":2018,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; SPARK (programming language); Volume (thermodynamics); Throughput; Distributed computing; Distributed database; Real-time computing; Operating system; Wireless","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000046731,0.00002215234,0.00001832503,0.0000157045,0.00003327433,0.00009859812,0.0004645738,0.000004127957,0.0001277118],"category_scores_gemma":[0.000003352301,0.00001658123,0.000006977212,0.0001006215,0.00001791263,0.0003434081,0.0002403473,0.000008936153,0.001350865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000188036,"about_ca_system_score_gemma":0.000002340623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006398559,"about_ca_topic_score_gemma":0.00000322632,"domain_scores_codex":[0.9997438,0.00000278995,0.00002895021,0.00009670536,0.00005763497,0.0000701862],"domain_scores_gemma":[0.9997116,0.000003747341,0.000005696277,0.0002496108,0.00001123456,0.00001812355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[1.24586e-7,0.000007651348,0.00009237847,5.129731e-7,0.000001738379,0.000001739426,0.00002278933,2.248915e-8,0.00001309314,0.7116258,0.06991401,0.2183201],"study_design_scores_gemma":[0.0001140115,0.00005980105,0.004161842,0.000001807213,0.000001134542,0.000001205539,0.000006600033,0.07259284,0.001139863,0.0179009,0.9039077,0.0001123049],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001623377,0.000001784379,0.748192,0.0005391791,0.0001972361,0.00001225128,1.869544e-7,0.0001037239,0.2507914],"genre_scores_gemma":[0.5616962,0.000002662358,0.38275,0.002031504,0.0004041203,0.000002836092,0.000003052381,0.000003259498,0.05310634],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8339937,"threshold_uncertainty_score":0.9994267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01122644371644641,"score_gpt":0.2332370733732086,"score_spread":0.2220106296567622,"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."}}