{"id":"W2560434258","doi":"10.5539/sar.v6n1p73","title":"Socio-economic Potential of Rainwater Harvesting in Ethiopia","year":2016,"lang":"en","type":"article","venue":"Sustainable Agriculture Research","topic":"Water resources management and optimization","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rainwater harvesting; Water scarcity; Environmental science; Water resource management; Population; Scarcity; Water resources; Population growth; Geography; Agricultural economics; Agroforestry; Agriculture; Economics; Ecology","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":[0.0007701038,0.00009928776,0.0001306174,0.0002619484,0.00007233342,0.00005966729,0.0002127709,0.0001039083,0.0001480706],"category_scores_gemma":[0.00004721045,0.0000585335,0.00003851972,0.0002878873,0.00006076512,0.0003041117,0.0001342073,0.0001866069,0.00004216324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003249167,"about_ca_system_score_gemma":0.00001920317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002953963,"about_ca_topic_score_gemma":0.00003885133,"domain_scores_codex":[0.9987453,0.00009207267,0.0002021637,0.0001644619,0.0002193628,0.0005766421],"domain_scores_gemma":[0.9996145,0.00005310329,0.00001984438,0.0001320637,0.0001321474,0.0000483883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001570796,0.0001451959,0.02203738,0.00326198,0.0002491317,0.0003082865,0.006510446,0.7066367,0.1167337,0.03002246,0.09400003,0.01993768],"study_design_scores_gemma":[0.01051164,0.000598977,0.09232553,0.001166296,0.00007226889,0.0000253979,0.04241115,0.03909257,0.09504512,0.02401661,0.6920915,0.00264296],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9444788,0.0002753932,0.002136635,0.001365025,0.0001022694,0.0007490118,0.000004316239,0.0001645842,0.05072404],"genre_scores_gemma":[0.9384399,0.0000766915,0.0001245504,0.000002064605,0.0001087928,0.00003023914,0.000006873298,0.00001633385,0.06119453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6675441,"threshold_uncertainty_score":0.2386927,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219526224897297,"score_gpt":0.2455918320844018,"score_spread":0.2333965698354289,"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."}}