{"id":"W6988056411","doi":"","title":"WP Engine Expands Global Footprint With New Amazon Web Services Data Centers In Canada | HostReview.com","year":2017,"lang":"en","type":"other","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Footprint; Ecological footprint; Cloud computing; Data center","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":[0.002527279,0.0004750417,0.0002972913,0.001604253,0.002630905,0.005500193,0.001548008,0.001452137,0.04693653],"category_scores_gemma":[0.005345068,0.0002699647,0.0005382551,0.002661864,0.001628568,0.002188426,0.001506289,0.00248536,0.01021656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01613846,"about_ca_system_score_gemma":0.07654246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7893066,"about_ca_topic_score_gemma":0.8807318,"domain_scores_codex":[0.9974624,0.00007163802,0.00004310611,0.0001029547,0.001792944,0.0005268238],"domain_scores_gemma":[0.9901513,0.0003807668,0.0001472045,0.0003850886,0.006663003,0.00227277],"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":[0.00004728937,0.00002358256,0.002351039,0.0001555738,0.00001476028,0.0001521584,0.00009437317,0.0002018104,0.0006096567,0.008037598,0.9332176,0.05509466],"study_design_scores_gemma":[0.000008208604,0.000008975284,0.003482303,0.0001085071,0.00001201346,0.00005425057,0.000157304,0.0001099888,0.0004829757,0.0004762753,0.9950879,0.00001131014],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02227093,0.03371115,0.002334497,0.1994693,0.02538251,0.0001887667,0.009381927,0.004374068,0.7028868],"genre_scores_gemma":[0.1512954,0.06275698,0.004414121,0.04437359,0.007543002,0.00006231602,0.01157474,0.003257918,0.714722],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2106934,"threshold_uncertainty_score":0.4238683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01406605087183294,"score_gpt":0.2314181305436149,"score_spread":0.217352079671782,"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."}}