{"id":"W2222740999","doi":"10.1007/s11269-016-1227-8","title":"Water Variability and the Economic Impacts on Small-Scale Farmers. A Farm Risk-Based Integrated Modelling Approach","year":2016,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Water resources management and optimization","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Agriculture; Scale (ratio); Context (archaeology); Water resources; Climate change; Small farm; Economic impact analysis; Water use; Natural resource economics; Business; Profit (economics); Water resource management; Environmental resource management; Environmental science; Economics; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001044647,0.0003707151,0.0002903884,0.0002109297,0.0001995315,0.0002472656,0.0003641949,0.00007904133,0.0000722673],"category_scores_gemma":[0.000002623842,0.0001547621,0.0001121615,0.00006147071,0.0001559658,0.00009186193,0.0001958312,0.0001571107,0.0001138396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002060265,"about_ca_system_score_gemma":0.000001339591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001212397,"about_ca_topic_score_gemma":0.00001297254,"domain_scores_codex":[0.9981658,0.0001971076,0.0003824864,0.0004918294,0.0001776208,0.0005851962],"domain_scores_gemma":[0.9992252,0.00004913578,0.00004815512,0.0005668616,0.00001480889,0.00009584679],"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":[0.0002853859,0.000034059,0.0005208275,0.0001570251,0.0002178687,0.000002535537,0.002166603,0.9896932,0.00005927866,0.0002134406,0.00007556868,0.006574257],"study_design_scores_gemma":[0.003354915,0.00004992228,0.0001402641,0.00006109186,0.0001783461,6.877433e-7,0.0002305048,0.9419013,0.003130623,0.0005588123,0.04996882,0.0004247276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7076266,0.00002278238,0.2731828,0.0003636011,0.000125202,0.0009881716,0.00001169117,0.0003725987,0.01730647],"genre_scores_gemma":[0.9962213,0.0001086776,0.001992486,0.0001142768,0.0000723393,0.0001467936,0.00004663274,0.00006884881,0.001228648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2885947,"threshold_uncertainty_score":0.6311017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008284409592778708,"score_gpt":0.163579049724356,"score_spread":0.1552946401315773,"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."}}