{"id":"W3003448541","doi":"","title":"The impact of global land-cover change on the terrestrial water cycle","year":2013,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Water cycle; Land cover; Evapotranspiration; Environmental science; Flooding (psychology); Global change; Land use; Land use, land-use change and forestry; Physical geography; Climate change; Environmental resource management; Geography; Ecology; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002490432,0.0002635065,0.0001739678,0.0007648866,0.0002621311,0.0009897674,0.0001376766,0.0002396277,0.003009495],"category_scores_gemma":[0.001443721,0.00008038917,0.0002619105,0.002315284,0.0003907303,0.000883093,0.0005410933,0.0002168184,0.0004451822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007565081,"about_ca_system_score_gemma":0.0003831133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01623755,"about_ca_topic_score_gemma":0.02308619,"domain_scores_codex":[0.9997872,0.00005146619,0.00000980995,0.00003077369,0.00008187141,0.00003899646],"domain_scores_gemma":[0.9995168,0.0001867204,0.0001284922,0.00002798367,0.00009133151,0.0000485958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001517072,0.00007587612,0.8594105,0.0003217875,0.0002849462,0.0003560768,0.000190702,0.01696255,0.004639776,0.003728979,0.005089857,0.1087872],"study_design_scores_gemma":[0.000006663695,0.00005912291,0.9791997,0.00003452018,0.00007493069,0.0001319468,0.0003699066,0.004564717,0.0008475651,0.002745866,0.01195203,0.00001291781],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9601543,0.004637612,0.001868098,0.002574797,0.0001680196,0.00002348341,0.009962542,0.00006557956,0.02054561],"genre_scores_gemma":[0.9930874,0.00343559,0.0004524958,0.0002173523,0.0001228729,0.000005614949,0.001819783,0.00001667996,0.0008422335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01623755,"threshold_uncertainty_score":0.03228611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04600521480403762,"score_gpt":0.2850535948551298,"score_spread":0.2390483800510922,"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."}}