{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002549623,0.0001360875,0.000118948,0.00005828695,0.00006400382,0.00006459331,0.0000688104,0.0001164322,0.00000943676],"category_scores_gemma":[0.00000789655,0.00007832405,0.00004127901,0.00004065133,0.00002696031,0.0002933109,0.00006092051,0.0001459371,0.0000150203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005909926,"about_ca_system_score_gemma":4.584825e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003112459,"about_ca_topic_score_gemma":0.00004178482,"domain_scores_codex":[0.9992916,0.00003809074,0.0001400393,0.0001179737,0.0001612514,0.0002510749],"domain_scores_gemma":[0.9997115,0.00002835728,0.00003952915,0.0001518206,0.00001223905,0.00005661251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001805406,0.000320636,0.8345037,0.001050046,0.0004264327,0.00003139507,0.06492812,0.0239998,0.002663039,0.001408128,0.001254575,0.06760871],"study_design_scores_gemma":[0.00223447,0.0004892106,0.8939903,0.0001335922,0.00009012535,0.000003966782,0.0007468679,0.09352148,0.001705895,0.0001098,0.006354559,0.0006196774],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981806,0.0006664025,0.000009617443,0.0001023255,0.0001843285,0.000335029,0.0001082103,0.00006939837,0.0003441215],"genre_scores_gemma":[0.9964331,0.003051345,0.00003854562,0.00005359662,0.0001628637,0.00003243839,0.0001930311,0.00002483596,0.00001026194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06952168,"threshold_uncertainty_score":0.3193962,"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."}}