{"id":"W2963349216","doi":"10.5539/jas.v11n13p213","title":"Small Hydropower Plants in Generation in the Rural Area of the West and Southwest of Paraná State-Brazil","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Logistics and Infrastructure Analysis","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydropower; Watershed; Geography; Electricity generation; Flood myth; Hydrology (agriculture); Hydroelectricity; Water resource management; Environmental science; Power (physics); Engineering; Archaeology; 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":[0.0002099265,0.0001062311,0.00008273319,0.000532546,0.0005651286,0.0004272344,0.0002165523,0.0001477945,0.002164681],"category_scores_gemma":[0.0007399953,0.0001479345,0.00009622492,0.001215175,0.0004863697,0.0003618904,0.0006533618,0.000129856,0.0001200536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000982067,"about_ca_system_score_gemma":0.001503992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06465445,"about_ca_topic_score_gemma":0.2440946,"domain_scores_codex":[0.9998559,0.00003110359,0.000006993654,0.00002985238,0.0000409549,0.00003514154],"domain_scores_gemma":[0.9997011,0.00007245431,0.0001005798,0.00001611521,0.0000523915,0.00005731368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009080827,0.0001448511,0.8413192,0.0006588822,0.00003802766,0.0044539,0.05279405,0.001680002,0.01700947,0.008743496,0.001728796,0.07133853],"study_design_scores_gemma":[0.000004843216,0.00006385298,0.9519677,0.00009107209,0.00001182936,0.0008834982,0.02967901,0.0009203159,0.0005361251,0.000442182,0.01538862,0.00001101302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992215,0.0002314125,0.0003107795,0.0001710805,0.000002295694,0.00006074839,0.000337888,0.000009180666,0.006661685],"genre_scores_gemma":[0.9982009,0.0002087743,0.0003274266,0.00001231985,8.010623e-7,0.00001947779,0.00007627421,0.000001330955,0.001152636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06465445,"threshold_uncertainty_score":0.1285563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502662272865672,"score_gpt":0.2079275789711167,"score_spread":0.19290095624246,"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."}}