{"id":"W3120754535","doi":"10.1016/j.agsy.2020.103028","title":"Food security outcomes in agricultural systems models: Current status and recommended improvements","year":2021,"lang":"en","type":"article","venue":"Agricultural Systems","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Consortium of International Agricultural Research Centers","keywords":"Food security; Agriculture; Food systems; Good agricultural practice; Environmental economics; Business; Computer science; Risk analysis (engineering); Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003523051,0.0005145925,0.0006973387,0.00002948457,0.0004045548,0.0007904001,0.0002829828,0.0002333768,0.00004678789],"category_scores_gemma":[0.00007612068,0.0001642148,0.0001527464,0.001198841,0.00003646443,0.001413442,0.0002464145,0.0004760967,0.00002222156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002071559,"about_ca_system_score_gemma":0.00001809533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002382624,"about_ca_topic_score_gemma":0.002490561,"domain_scores_codex":[0.9964799,0.0004085384,0.0009471605,0.0007990458,0.0005394811,0.0008259296],"domain_scores_gemma":[0.9982488,0.0003451941,0.0004696223,0.0001239658,0.0005388691,0.0002736172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000337777,0.006045085,0.4309035,0.001762199,0.002070712,0.000154296,0.00528978,0.001461067,0.2735503,0.1455757,0.0376601,0.09518952],"study_design_scores_gemma":[0.0009112527,0.0005655196,0.9274082,0.0002879382,0.0000699079,0.0001480132,0.02732977,0.0004030862,0.0003441887,0.0006899137,0.04066513,0.001177033],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840693,0.009991135,9.640609e-7,0.001163792,0.001552307,0.0009297651,0.0002719444,0.0001419891,0.001878832],"genre_scores_gemma":[0.9968206,0.001017184,0.00001674873,0.00003555072,0.0004172322,0.0002273258,0.0008309741,0.000002633136,0.0006317118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4965048,"threshold_uncertainty_score":0.7621846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04967449414062797,"score_gpt":0.260154476660488,"score_spread":0.21047998251986,"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."}}