{"id":"W2529804927","doi":"","title":"Environmental consequences of future data centre deployment in Canada","year":2015,"lang":"en","type":"article","venue":"Espace ÉTS (ETS)","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Software deployment; Environmental resource management; Computer science; Environmental science","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":[0.0002847838,0.0001217194,0.0001562335,0.00005277753,0.00003362201,0.00003129361,0.001360724,0.00002551002,0.00001111628],"category_scores_gemma":[0.00001499355,0.0001059293,0.00001722436,0.0001743727,0.00004751882,0.00003729219,0.001115109,0.0001025257,0.00001281405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003082069,"about_ca_system_score_gemma":0.00040673,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2503653,"about_ca_topic_score_gemma":0.4440647,"domain_scores_codex":[0.998605,0.00008755558,0.0001904589,0.0003888591,0.0004664639,0.0002616423],"domain_scores_gemma":[0.9988155,0.00003810105,0.0001004243,0.0009058994,0.000008652762,0.0001313746],"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":[0.0000931711,0.0008603763,0.3680272,0.0001468434,0.0002539072,0.001522453,0.01917126,0.1073739,0.001090541,0.01162805,0.2448113,0.245021],"study_design_scores_gemma":[0.003167463,0.0001842046,0.06941197,0.000230715,0.00003775997,0.00006738136,0.02493732,0.3573105,0.003645382,0.0004063011,0.539376,0.001224961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857615,0.0007495916,0.000758438,0.01104413,0.0007285436,0.0001698141,0.000018017,0.00003703538,0.0007329946],"genre_scores_gemma":[0.9971983,0.00001105766,0.002077295,0.0002582074,0.00007608814,0.000001207283,0.000005595215,0.000005910006,0.0003662938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2986152,"threshold_uncertainty_score":0.7546266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169447974370196,"score_gpt":0.2141897718509929,"score_spread":0.1972449744139733,"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."}}