{"id":"W4393233726","doi":"10.18280/mmep.110323","title":"Techno-Economic Modeling of Hybrid PV-Hydroelectric Generator Systems in Semarang","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Smart Grid Energy Management","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Hydroelectricity; Generator (circuit theory); Environmental science; Automotive engineering; Electrical engineering; Business; Computer science; Engineering; Physics; Power (physics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003053522,0.0004404215,0.0009303697,0.0003513559,0.0006023067,0.001717071,0.0008149543,0.001231862,0.002555138],"category_scores_gemma":[0.0004369048,0.0003589111,0.0006505201,0.0006333336,0.0006089777,0.0008673423,0.0006274409,0.0007217976,0.0003128114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001221411,"about_ca_system_score_gemma":0.0008073524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02329315,"about_ca_topic_score_gemma":0.01854715,"domain_scores_codex":[0.9998559,0.0000685691,0.000005354912,0.00002123301,0.00002280553,0.00002611619],"domain_scores_gemma":[0.9998591,0.00008082384,0.00001355941,0.00000680406,0.00002639021,0.00001327212],"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":[0.00002002176,0.00001409248,0.0003260562,0.00001044069,0.000008942723,0.00009219344,0.00001531234,0.9937802,0.0003212547,0.004129826,0.000138507,0.001143151],"study_design_scores_gemma":[0.000004080041,0.000009673417,0.0001823109,0.000001877989,0.000003396171,0.000009275391,0.00001731965,0.9983376,0.00007204826,0.001161739,0.0001979925,0.000002672385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7477664,0.001210066,0.1675162,0.00122665,0.000159417,0.0001123055,0.0006468801,0.0003556338,0.08100646],"genre_scores_gemma":[0.9910772,0.0001671043,0.001768377,0.00002244366,0.00001086786,0.00002820698,0.00007003147,0.00002740717,0.006828337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02329315,"threshold_uncertainty_score":0.04631513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117369035153916,"score_gpt":0.175523211686721,"score_spread":0.1637863081713294,"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."}}