{"id":"W3159345041","doi":"10.1145/3447786.3456230","title":"DZiG","year":2021,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Computation; Graph; Theoretical computer science; Graph algorithms; Stream processing; Parallel computing; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004705929,0.0008791848,0.0004799526,0.0006892338,0.0005497584,0.001554506,0.002217037,0.0007454349,0.05198176],"category_scores_gemma":[0.001884591,0.0004377935,0.0004254362,0.0006897773,0.0003913605,0.002224657,0.002277296,0.001266973,0.02995697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008364951,"about_ca_system_score_gemma":0.001067202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003243329,"about_ca_topic_score_gemma":0.003931706,"domain_scores_codex":[0.9995672,0.00004677894,0.00002848271,0.0001401853,0.000147294,0.00007003116],"domain_scores_gemma":[0.9992179,0.0001063237,0.00003432388,0.000361144,0.0002012595,0.00007904055],"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":[0.001046544,0.0002322184,0.002177068,0.0007500547,0.00009150062,0.0003058963,0.0002564919,0.01597693,0.04884299,0.07847305,0.3696309,0.4822163],"study_design_scores_gemma":[0.0002854664,0.0002162148,0.001467565,0.00006337267,0.00005622647,0.0004772573,0.000102515,0.1984895,0.04422896,0.05424818,0.7002873,0.00007745959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02241397,0.001349313,0.5562311,0.001353075,0.0006817896,0.0006170809,0.01443625,0.265314,0.1376034],"genre_scores_gemma":[0.3000506,0.001934862,0.4667532,0.001893613,0.0002783833,0.0009791246,0.06597476,0.02361905,0.1385164],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9480183,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199411453174563,"score_gpt":0.197355972579757,"score_spread":0.1853618580480114,"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."}}