{"id":"W4322002852","doi":"10.5194/egusphere-egu23-12335","title":"Toward improved food security under compound shocks in Lebanon: A Water-Energy-Food Nexus Approach","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Food security; Agriculture; Natural resource economics; Nexus (standard); Business; Food systems; Food prices; Renewable energy; Production (economics); Water security; Psychological intervention; Agricultural economics; Economics; Water resources; Geography","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":[0.001931081,0.0008151687,0.0004241546,0.00230853,0.001308462,0.00410872,0.0007150052,0.001133088,0.004811919],"category_scores_gemma":[0.0009957568,0.0001428859,0.0004501565,0.001628809,0.001362432,0.002708724,0.003043982,0.0009523083,0.0001876599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008534976,"about_ca_system_score_gemma":0.006060152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0146575,"about_ca_topic_score_gemma":0.02847014,"domain_scores_codex":[0.9993361,0.0003324763,0.00001767867,0.00005420253,0.00006277951,0.0001968578],"domain_scores_gemma":[0.999602,0.0001253135,0.00009250953,0.00001075511,0.0001078562,0.00006164326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004928819,0.0006146716,0.1512678,0.002987381,0.0004501762,0.003689484,0.008088324,0.04250906,0.008021609,0.4389918,0.01425806,0.3286286],"study_design_scores_gemma":[0.00007675266,0.0009098494,0.2056809,0.004620088,0.0003664994,0.0006123859,0.1513008,0.06271859,0.005251334,0.4213456,0.1469264,0.0001908539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7438491,0.02931631,0.03217795,0.07819808,0.0006058966,0.0003537762,0.001172438,0.0001285827,0.1141979],"genre_scores_gemma":[0.975033,0.008437442,0.01065052,0.001592104,0.00009717077,0.0001161419,0.0002159357,0.00001182199,0.003845844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0146575,"threshold_uncertainty_score":0.06192595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053393401409053,"score_gpt":0.2303181868541079,"score_spread":0.1797842528400174,"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."}}