{"id":"W4312186881","doi":"10.3389/fsufs.2022.969248","title":"Food security under compound shocks: Can Lebanon produce its own Mediterranean food basket?","year":2022,"lang":"en","type":"article","venue":"Frontiers in Sustainable Food Systems","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"National Science Foundation","keywords":"Food security; Agriculture; Sustainability; Natural resource economics; Business; Food systems; Food prices; Food processing; Renewable energy; Production (economics); Environmental resource management; Economics; Agricultural economics; Geography; Engineering","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":[0.001175843,0.0003813982,0.0002332717,0.000450552,0.0009904352,0.002542994,0.0003973546,0.0006790565,0.004215316],"category_scores_gemma":[0.000934816,0.00008889373,0.0002094389,0.0005616241,0.0007458256,0.001933922,0.001187903,0.0005493205,0.0002446285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003427447,"about_ca_system_score_gemma":0.00195374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01515124,"about_ca_topic_score_gemma":0.02550771,"domain_scores_codex":[0.9997093,0.0001181804,0.000006709032,0.00002759147,0.0000340252,0.0001041555],"domain_scores_gemma":[0.9997622,0.00005207434,0.00006853378,0.00001165918,0.00005882692,0.00004662975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00152006,0.0003882193,0.4442838,0.001530163,0.000346511,0.01018828,0.0190574,0.007663851,0.01305693,0.1054134,0.0260661,0.3704853],"study_design_scores_gemma":[0.00009256183,0.0008079344,0.5857611,0.00163379,0.0001730249,0.001121763,0.1451994,0.007997765,0.003893098,0.05789726,0.1952913,0.000131042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9412331,0.004390824,0.001128872,0.01852749,0.0002136388,0.00003995817,0.0003722389,0.00002134194,0.03407258],"genre_scores_gemma":[0.9931434,0.002303975,0.0009318144,0.001185826,0.00005763444,0.00001713393,0.0001559327,0.00000635003,0.00219778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01515124,"threshold_uncertainty_score":0.03012609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483450712881705,"score_gpt":0.2031212332269691,"score_spread":0.188286726098152,"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."}}