{"id":"W4248186193","doi":"10.1088/1755-1315/582/1/011001","title":"Preface","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Variety (cybernetics); Efficient energy use; Greenhouse gas; Resilience (materials science); Environmental economics; Computer science; Engineering management; Business; Engineering; Electrical 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":[],"consensus_categories":[],"category_scores_codex":[0.00004195456,0.00009631619,0.00007492178,0.00002005057,0.000103581,0.00007843997,0.0001235052,0.00002936078,0.0001706337],"category_scores_gemma":[0.000008273291,0.00008956169,0.000008934885,0.000130535,0.0003447768,0.0005377164,0.00004073748,0.00006773241,0.00005137432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001532169,"about_ca_system_score_gemma":0.00001368584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009494154,"about_ca_topic_score_gemma":0.000007590933,"domain_scores_codex":[0.9993853,0.000006058842,0.00009004334,0.000176649,0.0001512868,0.0001906497],"domain_scores_gemma":[0.9997376,0.00000301041,0.00001229805,0.00007924435,0.000004590513,0.0001632309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001063394,0.000005587192,0.0004129925,0.00002298087,0.000005868222,0.000004549788,0.001770305,0.05648518,0.9285436,0.00163218,0.00006298279,0.01104319],"study_design_scores_gemma":[0.0002038331,0.0001548453,0.009430572,0.00002014564,0.000005440995,0.00002515682,0.001757065,0.226039,0.7479767,0.00002881673,0.01398545,0.000372959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856898,0.00009885304,0.001599089,0.0001545918,0.0001072008,0.0000756203,0.0000116889,0.0001387909,0.01212434],"genre_scores_gemma":[0.9986565,0.0001825278,0.0008625694,0.00007756615,0.00002165423,0.000004235993,0.000006040107,0.000007269655,0.0001816901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1805668,"threshold_uncertainty_score":0.365222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00869752502304619,"score_gpt":0.1650529562480341,"score_spread":0.1563554312249879,"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."}}