{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006786469,0.0001986096,0.0001879669,0.001862985,0.0006498889,0.001817479,0.0003586899,0.0003338467,0.00247762],"category_scores_gemma":[0.003532378,0.00009895115,0.0002908106,0.00367582,0.0003492564,0.0007449265,0.000508967,0.00050025,0.0003088948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003268603,"about_ca_system_score_gemma":0.001856816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.13491,"about_ca_topic_score_gemma":0.1264566,"domain_scores_codex":[0.9994082,0.0001031772,0.00001359055,0.00007022038,0.0001818039,0.0002229918],"domain_scores_gemma":[0.9957529,0.001610443,0.000519277,0.0001171908,0.001244375,0.0007557003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005731796,0.0002851571,0.8508323,0.00008618899,0.000117195,0.0009755113,0.001018762,0.07608979,0.002810223,0.01633411,0.008535687,0.04234201],"study_design_scores_gemma":[0.00002991533,0.0002398508,0.8154377,0.0000435051,0.00004689877,0.0002211253,0.005534266,0.1646328,0.001770845,0.002911747,0.009099332,0.00003207161],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854174,0.0001711137,0.0004912181,0.0004352957,0.000005926668,0.00002262136,0.0009864614,0.00002502267,0.01244496],"genre_scores_gemma":[0.9975547,0.0001067913,0.0001801102,0.00002660778,0.000004409828,0.000009052807,0.0007714969,0.000008299215,0.001338528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.13491,"threshold_uncertainty_score":0.2682494,"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."}}