{"id":"W6991420932","doi":"","title":"A glance at hydroelectricity evolution","year":2023,"lang":"en","type":"article","venue":"Research Padua  Archive (University of Padua)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydroelectricity; Hydropower; Renewable energy; Electric power transmission; Fossil fuel; Thermal power station; Power station; Mill","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00144941,0.0001285622,0.0002323575,0.001289372,0.0009869315,0.00002469802,0.002630494,0.00008694006,0.00001655754],"category_scores_gemma":[0.0003737563,0.0001623584,0.0001219553,0.002873782,0.0007781821,0.000333475,0.002890398,0.0005096748,0.0008833988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004887245,"about_ca_system_score_gemma":0.0002300701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003671907,"about_ca_topic_score_gemma":0.0002293663,"domain_scores_codex":[0.9970008,0.0004826724,0.0001234349,0.0005910062,0.001022276,0.0007798541],"domain_scores_gemma":[0.9978453,0.0007407388,0.0001006001,0.0009370832,0.0002289306,0.0001473392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001883731,0.000334683,0.007792853,0.0002776641,0.0001557454,0.0009887981,0.009697936,0.001488512,0.2479737,0.2569972,0.4048829,0.06922164],"study_design_scores_gemma":[0.0008359509,0.00059144,0.05595274,0.0001128454,0.000006562666,0.0000236191,0.0004771254,0.7192906,0.001552136,0.1791075,0.04164404,0.0004054044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1566824,0.00008901067,0.8325065,0.004047775,0.00009934555,0.0002893602,0.00001334802,0.001220303,0.00505195],"genre_scores_gemma":[0.9117771,0.0001330607,0.08513146,0.00001208962,0.00003004517,0.000001303203,0.000009920339,0.00001231104,0.002892658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7550948,"threshold_uncertainty_score":0.9998945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05217211691109162,"score_gpt":0.2783543495626842,"score_spread":0.2261822326515926,"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."}}