{"id":"W2089507608","doi":"10.1038/nclimate2525","title":"The environmental impact of climate change adaptation on land use and water quality","year":2015,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Water resources management and optimization","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Economic and Social Research Council; Brock University; European Commission","keywords":"Adaptation (eye); Ecosystem services; Climate change; Provisioning; Environmental resource management; Agriculture; Business; Quality (philosophy); Environmental planning; Ecosystem; Environmental science; Ecology; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007154142,0.00028034,0.0001711828,0.0003570232,0.0003065311,0.0009113876,0.0002875353,0.0005893935,0.003784911],"category_scores_gemma":[0.002361558,0.000165586,0.0004334432,0.0009386735,0.0007070117,0.0009449648,0.0006313773,0.0004680746,0.0001668776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001197268,"about_ca_system_score_gemma":0.0007812128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0153669,"about_ca_topic_score_gemma":0.02024504,"domain_scores_codex":[0.9996362,0.0001578189,0.00001651396,0.00004371719,0.00006199007,0.00008372879],"domain_scores_gemma":[0.9992391,0.0003926601,0.0001176159,0.00004648621,0.0001418694,0.00006236842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003991809,0.0002959012,0.2227235,0.0001956984,0.0005971182,0.000695119,0.000143647,0.6685358,0.01153435,0.03174355,0.003034488,0.06010159],"study_design_scores_gemma":[0.00003482438,0.0002326762,0.5897217,0.00002901918,0.0002169261,0.000196933,0.0009661367,0.353968,0.004531938,0.03968937,0.01033979,0.00007277709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9590066,0.001022629,0.01039231,0.003093903,0.0001825329,0.00002313285,0.000755363,0.00004883209,0.02547461],"genre_scores_gemma":[0.9984674,0.0003877087,0.0003058102,0.00007518705,0.00002751381,0.000003799211,0.00005073443,0.000008320444,0.0006734754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0153669,"threshold_uncertainty_score":0.03055495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06560204513282726,"score_gpt":0.268806265675054,"score_spread":0.2032042205422268,"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."}}