{"id":"W2071398118","doi":"10.1145/2593743.2593749","title":"Green mining: energy consumption of advertisement blocking methods","year":2014,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Blocking (statistics); Computer science; Energy consumption; Converse; Overhead (engineering); Advertising; Consumption (sociology); Web page; Phone; Energy (signal processing); Smart phone; World Wide Web; Telecommunications; Engineering; Business; Computer network; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003032748,0.00007397877,0.0001285949,0.00004813456,0.00001703808,0.00000413814,0.00006716385,0.00004305752,0.0001934725],"category_scores_gemma":[0.00002788887,0.00006908079,0.00004021834,0.0000545347,0.00002187581,0.00003771061,0.00002423127,0.00002960561,0.000001872082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003385054,"about_ca_system_score_gemma":0.000004432882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001199701,"about_ca_topic_score_gemma":0.00004483374,"domain_scores_codex":[0.9994707,0.00005289936,0.0001807733,0.00008742501,0.00007545176,0.0001328173],"domain_scores_gemma":[0.9996551,0.00008079864,0.00001773543,0.0001693444,0.00003748461,0.000039522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009706931,0.00003542244,0.07217413,0.000441066,0.00008048375,9.993795e-7,0.0006680833,0.005615148,0.01535183,0.01220681,0.0006627823,0.8927535],"study_design_scores_gemma":[0.0008129257,0.0001193713,0.07059427,0.00004461049,0.00006171846,0.000003653211,0.0003511572,0.7201806,0.1506463,0.003911897,0.05280018,0.0004733128],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4561748,0.0001107536,0.5279561,0.00003152943,0.0001264553,0.00004453256,4.419993e-7,0.0001557547,0.01539964],"genre_scores_gemma":[0.9743882,0.000007363887,0.02519017,0.00001972088,0.00002398529,0.000006049745,0.000001532635,0.000009516898,0.0003534055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8922802,"threshold_uncertainty_score":0.2817033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01462950204922117,"score_gpt":0.2694870814437147,"score_spread":0.2548575793944935,"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."}}