{"id":"W4403894507","doi":"10.18280/ijsdp.191008","title":"Analyze the Potential of Hybrid Renewable Energy Systems (HRES) for EV Charging Stations Across Four Provinces in Indonesia: Conduct Energy and Economic Evaluations","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Universitas Sebelas Maret","keywords":"Renewable energy; Environmental economics; Energy (signal processing); Environmental science; Natural resource economics; Economics; Engineering; Electrical engineering; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004767829,0.00008978803,0.0001499196,0.0002772877,0.00008918742,0.0002006899,0.000117906,0.00002742794,0.000003356159],"category_scores_gemma":[0.00002054217,0.00007027897,0.00002763051,0.00008469478,0.00001954346,0.0003389878,0.00001793452,0.00007962949,3.527004e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001637834,"about_ca_system_score_gemma":0.0002487545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000246646,"about_ca_topic_score_gemma":0.00004259421,"domain_scores_codex":[0.9991671,0.00001984627,0.0004096065,0.00008407069,0.0001524846,0.0001668916],"domain_scores_gemma":[0.9994898,0.0001379841,0.0001140604,0.00002797997,0.0001997102,0.00003040282],"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":[0.00005740543,0.000007224322,0.002782125,0.0002023659,0.000479176,0.000282782,0.002660376,0.9746832,0.001021966,0.005536748,0.001486357,0.01080026],"study_design_scores_gemma":[0.001271161,0.00008682455,0.009872996,0.0006509054,0.00006643567,0.0007767288,0.0255718,0.9194385,0.00856725,0.004561402,0.02881181,0.0003242107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9524337,0.006433349,0.04039079,0.000128522,0.0004268752,0.00007604204,0.00001644442,0.000009885979,0.00008439253],"genre_scores_gemma":[0.9989235,0.0002481044,0.000400852,0.00001010558,0.0001644552,0.00001468214,0.00001599809,0.00001049137,0.0002118472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05524473,"threshold_uncertainty_score":0.2865893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01066514273740964,"score_gpt":0.2588814893353744,"score_spread":0.2482163465979648,"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."}}