{"id":"W4392670092","doi":"10.57209/e-locucao.v1i20.420","title":"SUSTENTABILIDADE DE DATA CENTERS COM O USO DA TI-VERDE","year":2021,"lang":"pt","type":"article","venue":"Revista Científica e-Locução","topic":"Green IT and Sustainability","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Cape verde; Geography; Political science; Sociology; Ethnology","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":[0.003852197,0.0006936293,0.0003643033,0.001733152,0.00162664,0.004564101,0.00206402,0.0008299269,0.005860792],"category_scores_gemma":[0.01367972,0.0006395326,0.0007631886,0.002387049,0.001008301,0.004159978,0.003181945,0.001330649,0.001282312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003448896,"about_ca_system_score_gemma":0.00305264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04071433,"about_ca_topic_score_gemma":0.03725994,"domain_scores_codex":[0.9952534,0.0008739301,0.0002807826,0.001258002,0.001250427,0.001083367],"domain_scores_gemma":[0.9815979,0.004352193,0.00255093,0.002894978,0.006399933,0.002204078],"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":[0.002430947,0.00073488,0.6948591,0.001171841,0.0004439874,0.001269741,0.007004118,0.02335668,0.04370596,0.008379078,0.01265438,0.2039892],"study_design_scores_gemma":[0.0001866544,0.002017185,0.7657801,0.0004314779,0.0005528395,0.001277463,0.01653633,0.07068485,0.044299,0.003143305,0.09478485,0.0003058405],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761958,0.001248746,0.007222463,0.001403928,0.0001169361,0.0001972189,0.001173646,0.00111982,0.01132153],"genre_scores_gemma":[0.9853957,0.0004141697,0.00675659,0.000242496,0.00002978264,0.00005562878,0.001554019,0.0001102642,0.005441298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04071433,"threshold_uncertainty_score":0.08095467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03556317903038129,"score_gpt":0.2811778436142333,"score_spread":0.245614664583852,"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."}}