{"id":"W2754020645","doi":"10.1016/j.agwat.2017.09.001","title":"Food and water security: Analysis of integrated modeling platforms","year":2017,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Food security; Water security; Agriculture; Water resources; Food processing; Computer science; Environmental economics; Environmental resource management; Environmental planning; Environmental science; Geography; Ecology; Economics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001357224,0.0002198105,0.0003019615,0.00007266786,0.0004125126,0.00009779858,0.0003735827,0.00004590012,0.0001854372],"category_scores_gemma":[0.000001889802,0.00008912519,0.0001107715,0.00009208896,0.0001256988,0.0004377135,0.00147552,0.00006200577,0.0000437419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007234557,"about_ca_system_score_gemma":2.641289e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007991106,"about_ca_topic_score_gemma":0.00116436,"domain_scores_codex":[0.998666,0.00001136332,0.0002643371,0.0003837346,0.0002850691,0.000389427],"domain_scores_gemma":[0.9994857,0.000003065731,0.00006094293,0.000368149,0.00001668703,0.00006543927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009943751,0.002597527,0.1056927,0.001089724,0.08051005,0.0004704045,0.08467747,0.2320745,0.331893,0.1043885,0.01027143,0.04534042],"study_design_scores_gemma":[0.003079455,0.001091091,0.3078243,0.0001410568,0.0080545,0.00001644693,0.01152883,0.07968357,0.4007896,0.1792989,0.005636095,0.002856075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651325,0.000015192,0.0001061479,0.0004640837,0.00006443872,0.0001492604,0.00001635342,0.00003158293,0.03402047],"genre_scores_gemma":[0.9984397,0.00001521872,0.0001510886,0.00004848405,0.00001374393,0.00002650002,0.00008765549,0.000007108262,0.0012105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2021316,"threshold_uncertainty_score":0.363442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261884891671876,"score_gpt":0.1950825832107936,"score_spread":0.1824637342940748,"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."}}