{"id":"W2017587659","doi":"10.1007/s11518-010-5122-1","title":"System of systems approach to policy development for global food security","year":2010,"lang":"en","type":"article","venue":"Journal of Systems Science and Systems Engineering","topic":"Complex Systems and Decision Making","field":"Decision Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University; University of Waterloo","funders":"","keywords":"Risk analysis (engineering); Complex adaptive system; System of systems; Systems thinking; Key (lock); Food security; Process management; Value (mathematics); Business; Management science; Computer science; Engineering; Systems engineering; Computer security; Systems design","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02304817,0.0003888942,0.001569483,0.002323525,0.0003982137,0.001642909,0.00199633,0.0001916668,4.509568e-7],"category_scores_gemma":[0.004359932,0.0002729672,0.0002149405,0.003987613,0.000137436,0.0008592288,0.0002990402,0.0002877115,0.000006028918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000528635,"about_ca_system_score_gemma":0.001301768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001665864,"about_ca_topic_score_gemma":0.000007421012,"domain_scores_codex":[0.9897972,0.0001325693,0.003824243,0.0007000286,0.004794123,0.00075189],"domain_scores_gemma":[0.9908783,0.0007880119,0.001966745,0.0008340805,0.004693277,0.000839586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008370043,0.0001254102,0.003076546,0.002515214,0.0001522362,0.00001462149,0.003546195,0.1495174,0.01826318,0.8196545,0.001834124,0.00121678],"study_design_scores_gemma":[0.002148045,0.001051234,0.004091411,0.003710122,0.00006138966,0.00825013,0.03125049,0.842824,0.0004518896,0.0003591947,0.104543,0.001259114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6981229,0.00288944,0.2814768,0.00002680867,0.01289337,0.001811982,0.00006087944,0.00006020123,0.002657594],"genre_scores_gemma":[0.995554,0.000001226696,0.003068637,0.000005392556,0.00116977,0.00006137441,2.287e-7,0.00002321247,0.0001161451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8192953,"threshold_uncertainty_score":0.9999722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08108252782112745,"score_gpt":0.3410013459694777,"score_spread":0.2599188181483502,"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."}}