{"id":"W2138607828","doi":"10.1145/2723372.2735378","title":"Just can't get enough","year":2015,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Benchmarking; Variety (cybernetics); Big data; Computer science; Scalability; Data science; Database; Business; Operating system; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008310499,0.002264763,0.001505499,0.001277223,0.008913414,0.01437221,0.003230515,0.009329631,0.1550697],"category_scores_gemma":[0.04007956,0.0007050645,0.001719109,0.00117682,0.009900662,0.0298737,0.01173648,0.01718938,0.1493658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002647856,"about_ca_system_score_gemma":0.005761132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006324552,"about_ca_topic_score_gemma":0.007556261,"domain_scores_codex":[0.9895307,0.003009758,0.0003722787,0.0013865,0.004114632,0.001586099],"domain_scores_gemma":[0.978466,0.003452867,0.0009728416,0.002967977,0.007112084,0.007028302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009086404,0.00008903437,0.0006343614,0.0003782318,0.00004207034,0.0002134028,0.001099354,0.0000873153,0.0003865371,0.01987833,0.9213544,0.05574607],"study_design_scores_gemma":[0.00002227934,0.00007171546,0.0002989878,0.000493772,0.00002183322,0.0003441471,0.002074069,0.0000644949,0.000212799,0.01509796,0.981252,0.00004603347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.002515748,0.01491451,0.007934568,0.7265924,0.06715859,0.0001824889,0.0008128044,0.002782036,0.1771069],"genre_scores_gemma":[0.0334568,0.01304166,0.009708768,0.5682518,0.01431992,0.0003418464,0.001172765,0.003265764,0.3564405],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1550697,"threshold_uncertainty_score":0.5187599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03997759364434342,"score_gpt":0.2495172809490284,"score_spread":0.209539687304685,"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."}}