{"id":"W4400072344","doi":"10.1109/access.2024.3420179","title":"Providing Frequency Containment Reserve With Cellular Network Power Infrastructure","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"ICT Impact and Policies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Computer science; Electricity; Demand response; Heuristics; Grid; Revenue; Cellular network; Electricity market; Renewable energy; Profit (economics); Electric power system; Environmental economics; Operations research; Risk analysis (engineering); Telecommunications; Business; Economics; Power (physics); Finance; Microeconomics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00007658082,0.0001705859,0.0001353045,0.00006221502,0.00005893157,0.0003572156,0.0002589194,0.00007557574,0.000157485],"category_scores_gemma":[0.000003603178,0.0001282915,0.00003609543,0.000287099,0.00002366136,0.0004503803,0.00002655654,0.0002275344,0.00002635083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009335973,"about_ca_system_score_gemma":0.00003790705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001057618,"about_ca_topic_score_gemma":0.00003892942,"domain_scores_codex":[0.999249,0.00001299025,0.00013361,0.000081848,0.0001585395,0.000364039],"domain_scores_gemma":[0.9996576,0.00003618265,0.00001318086,0.0001988439,0.00001898403,0.00007518443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007613553,0.00002808393,0.0523029,0.001660779,0.0009591311,0.0004936048,0.02019797,0.5356271,0.04952954,0.0141314,0.3212513,0.003742055],"study_design_scores_gemma":[0.002349704,0.001098019,0.03756991,0.003996649,0.0004992336,0.0002323624,0.002282736,0.04680341,0.4464,0.03276625,0.4210825,0.004919143],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765455,0.002224108,0.004740025,0.0001346769,0.001629418,0.0002215118,0.00001307635,0.0005354922,0.01395622],"genre_scores_gemma":[0.9989163,0.00003074616,0.00009626948,0.0001059736,0.0005557825,0.00002041571,0.000006183502,0.00005192473,0.0002164098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4888237,"threshold_uncertainty_score":0.5231574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009573733407785856,"score_gpt":0.2462878485909768,"score_spread":0.236714115183191,"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."}}