{"id":"W3009150989","doi":"10.5539/jas.v12n4p185","title":"Economic and Financial Assessment of Solar-Powered Irrigation","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payback period; Internal rate of return; Net present value; Irrigation; Revenue; Renewable energy; Agriculture; Solar energy; Agricultural science; Business; Benefit–cost ratio; Agricultural economics; Environmental science; Finance; Economics; Engineering; Production (economics); Geography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903842,0.00006440789,0.000114009,0.00001411689,0.00009041763,0.00002661317,0.0002088725,0.00002386665,0.0002602717],"category_scores_gemma":[0.00005216613,0.00003836411,0.00003552786,0.0001508878,0.0002861446,0.0008107335,0.00009746868,0.0000894984,0.00001167888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324743,"about_ca_system_score_gemma":0.00003195125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001816025,"about_ca_topic_score_gemma":0.000008137917,"domain_scores_codex":[0.9992175,0.00001594515,0.0002257071,0.0001092277,0.0003028198,0.0001288007],"domain_scores_gemma":[0.9994899,0.00001558038,0.0002608129,0.0000390514,0.000007994491,0.0001866621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00001866495,0.00004829029,0.05920599,0.000006281224,0.000006160276,0.000004520127,0.0008868017,0.05142444,0.880754,0.0005069082,0.001276587,0.005861389],"study_design_scores_gemma":[0.0001616719,0.0002625631,0.9891539,0.000007789718,0.000007026465,0.00002362156,0.00008204166,0.0001621219,0.009570445,0.00009815415,0.0004108433,0.00005988422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963376,0.00001511393,0.00008979352,0.00104564,0.00008792678,0.00003233239,0.000001121052,0.000002215536,0.002388241],"genre_scores_gemma":[0.9980428,0.00003135087,0.001694246,0.0001538267,0.00005709498,2.220317e-7,2.795042e-7,0.000001204446,0.00001902269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9299479,"threshold_uncertainty_score":0.2849793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00830089355468312,"score_gpt":0.2173569485488754,"score_spread":0.2090560549941922,"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."}}