{"id":"W4241422051","doi":"10.32920/ryerson.14651619","title":"Energy storage planning in distribution systems considering life-cycling-usage relationship","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Microgrid Control and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Energy storage; Reliability engineering; Asset (computer security); Automotive engineering; Engineering; Computer science; Power (physics)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002450953,0.000284477,0.0004129892,0.0001520332,0.00005761983,0.00027449,0.000123537,0.0004367774,0.00003646414],"category_scores_gemma":[0.0001322545,0.0003311788,0.00008837079,0.0001786602,0.00001330366,0.0001306513,0.0001367588,0.000609047,0.000004241459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002686077,"about_ca_system_score_gemma":0.00008105587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002885588,"about_ca_topic_score_gemma":0.00008735608,"domain_scores_codex":[0.9985491,0.00009452667,0.0005798511,0.0003417393,0.0001513699,0.0002833882],"domain_scores_gemma":[0.9992594,0.0001713969,0.000093302,0.0003230576,0.00005789429,0.00009498341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003493297,0.000009244336,0.003427863,0.0002376828,0.00004218469,0.00003987497,0.000164708,0.9949262,0.0001089044,0.0004248597,0.0003488163,0.00026619],"study_design_scores_gemma":[0.0002965378,0.000003297775,0.002525962,0.0005916032,0.00002680699,0.000006913008,0.0002229132,0.9948528,0.0000778349,0.0000622853,0.0009692007,0.0003638561],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08104201,0.02259603,0.8910983,0.00003888088,0.002078789,0.0002496359,0.00006014866,0.0006761446,0.002160086],"genre_scores_gemma":[0.9967235,0.0004171641,0.000769506,0.00001956139,0.0002260903,0.00008659124,0.001595593,0.00004845028,0.0001135955],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9156814,"threshold_uncertainty_score":0.9999141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880610550802905,"score_gpt":0.2149979577876128,"score_spread":0.1961918522795837,"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."}}