{"id":"W2134029260","doi":"10.5539/eer.v3n2p33","title":"Assessment of Investment in Small Hydropower Plants","year":2013,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydropower; Investment (military); Flow (mathematics); Work (physics); Value (mathematics); Linear programming; Computer science; Environmental science; Hydrology (agriculture); Water resource management; Environmental economics; Mathematical optimization; Mathematics; Economics; Geology; Engineering; Geotechnical engineering","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":[0.001177385,0.0005622311,0.0003145615,0.0008271238,0.0001970367,0.001533591,0.0005194148,0.0007649871,0.002125565],"category_scores_gemma":[0.003150042,0.0003139569,0.000370199,0.0007961452,0.0004016684,0.001267068,0.000544772,0.0005629213,0.0001684955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001836771,"about_ca_system_score_gemma":0.0009293004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002920319,"about_ca_topic_score_gemma":0.003853511,"domain_scores_codex":[0.9993993,0.0002528498,0.000023062,0.00006356373,0.0001861585,0.000074987],"domain_scores_gemma":[0.997803,0.001252459,0.0003388285,0.000061243,0.0003126217,0.0002317449],"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":[0.0002568012,0.0000937442,0.02094154,0.0001086799,0.00007319566,0.0004723053,0.00005846758,0.9488499,0.003435107,0.008656541,0.0004084929,0.01664532],"study_design_scores_gemma":[0.00001688746,0.000668939,0.02721252,0.00005777265,0.00006703528,0.0001623248,0.0003717176,0.9560869,0.003818184,0.008954351,0.002547262,0.00003608927],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9435878,0.0005054557,0.03458346,0.000412969,0.00002419345,0.0001644038,0.0008003539,0.00005767205,0.0198637],"genre_scores_gemma":[0.9964626,0.0001141267,0.001633873,0.000006212775,0.000003710433,0.00002003203,0.00008719178,0.000006008056,0.001666283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002920319,"threshold_uncertainty_score":0.01332682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121083957706392,"score_gpt":0.2336635741690629,"score_spread":0.212452734591999,"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."}}