{"id":"W155647738","doi":"","title":"ANALYSIS OF GROWTH AT COMPANY A THROUGH CLOUD COMPUTING","year":2011,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cloud computing; Business; Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005372032,0.0001248021,0.0002580258,0.0003109887,0.00007863661,0.000006292439,0.0002238782,0.00007916938,0.0002696263],"category_scores_gemma":[0.000008509891,0.000148046,0.0001481249,0.001737327,0.00005394319,0.0001215535,0.00006694094,0.0000971429,0.00002455739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008226601,"about_ca_system_score_gemma":0.000008456142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360999,"about_ca_topic_score_gemma":0.001805022,"domain_scores_codex":[0.9993617,0.00002854126,0.0001491335,0.000165193,0.000117488,0.0001779675],"domain_scores_gemma":[0.9995498,0.00004099518,0.00005565261,0.000198975,0.00008703884,0.00006751138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003945726,0.00007475237,0.7968758,0.00004330415,0.001463354,0.0000467604,0.0005699357,0.1966978,0.000006218366,0.00254419,0.00137646,0.0002619754],"study_design_scores_gemma":[0.001262513,0.00005356054,0.01273618,0.00004135823,0.00166296,9.815067e-9,0.0118971,0.9598366,0.007124787,0.00008093058,0.004701135,0.000602851],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8686953,0.00008350433,0.1030308,0.000008116644,0.0002682463,0.00006532257,0.00002674619,0.0003270244,0.02749492],"genre_scores_gemma":[0.9825194,0.00005067549,0.01708923,0.0000204221,0.00002396155,6.272825e-8,0.00003149593,0.00001523925,0.0002495016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7841396,"threshold_uncertainty_score":0.603714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01840147111574834,"score_gpt":0.1979541673562761,"score_spread":0.1795526962405277,"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."}}