{"id":"W3011159548","doi":"10.3390/en13061367","title":"Reviewing Municipal Energy System Planning in a Bibliometric Analysis: Evolution of the Research Field between 1991 and 2019","year":2020,"lang":"en","type":"article","venue":"Energies","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Karlsruhe Institute of Technology","keywords":"Renewable energy; Context (archaeology); Energy planning; China; Regional science; Environmental economics; Political science; Geography; Engineering; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0005196962,0.000102667,0.0003021987,0.01164609,0.00005556869,0.00003202115,0.0002112143,0.0001068982,0.000002331253],"category_scores_gemma":[0.0001996073,0.00008016049,0.00006070681,0.0683687,0.00002452545,0.0001259257,0.00007972955,0.00019641,8.157892e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001167261,"about_ca_system_score_gemma":0.00001369825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004157254,"about_ca_topic_score_gemma":0.0001211551,"domain_scores_codex":[0.9987907,0.0002248423,0.0003620894,0.0001516193,0.0002722366,0.0001985005],"domain_scores_gemma":[0.9993711,0.0002488768,0.00005469398,0.0002064681,0.00008046299,0.00003839797],"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":[0.000003186628,0.000001520335,0.01915139,0.0001769045,0.0001186597,0.000001394725,0.0006270524,0.9771205,0.0005122327,0.001486917,0.0003163421,0.0004839522],"study_design_scores_gemma":[0.0002650253,0.00006076354,0.04211527,0.001065756,0.0001720984,0.000001850212,0.003055531,0.9450867,0.005768251,0.00001935293,0.002149525,0.0002398876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682882,0.02415002,0.004622922,0.00007894894,0.0001243354,0.00008789542,0.000006969603,0.0001250911,0.002515661],"genre_scores_gemma":[0.9993603,0.0003062038,0.0001688859,0.000006831417,0.000080438,0.00001606954,0.00001076715,0.00001565467,0.0000348916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05672261,"threshold_uncertainty_score":0.9995561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04498089712350362,"score_gpt":0.2847609113864246,"score_spread":0.2397800142629209,"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."}}