{"id":"W2006927518","doi":"10.1016/j.ijpe.2014.09.023","title":"Agricultural supply chain optimization and complexity: A comparison of analytic vs simulated solutions and policies","year":2014,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":91,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Supply chain; Quality (philosophy); Computer science; Supply chain optimization; Risk analysis (engineering); Food security; Agriculture; Control (management); Key (lock); Food supply; Environmental economics; Industrial organization; Business; Supply chain management; Economics; Marketing; Artificial intelligence; Computer security","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":[0.000417487,0.00008119687,0.0002081449,0.00004575474,0.00007535691,0.00005385309,0.0001323631,0.0000432993,0.00003326837],"category_scores_gemma":[0.0002206666,0.00004035554,0.0000518211,0.00007557432,0.0001575123,0.0002702169,0.00004819844,0.00009109495,4.600048e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005404454,"about_ca_system_score_gemma":0.00000839451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009650784,"about_ca_topic_score_gemma":0.0002190937,"domain_scores_codex":[0.9991484,0.00006733403,0.0004559801,0.0001364905,0.0001009322,0.00009086273],"domain_scores_gemma":[0.9990066,0.000110692,0.00042898,0.00003102582,0.0003674462,0.00005528404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004429568,0.0006727327,0.2977345,0.00003056919,0.0004091629,5.525055e-7,0.001832096,0.6188352,0.0391584,0.007209206,0.0006350511,0.03303962],"study_design_scores_gemma":[0.0005799107,0.0007276172,0.8531903,0.00004836288,0.00005583716,0.0001634247,0.001678103,0.1345108,0.004119935,0.003111316,0.001589827,0.0002246411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873044,0.0000805375,0.0001266954,0.01200143,0.0003519532,0.00007760559,0.00002211524,0.000007867505,0.00002735038],"genre_scores_gemma":[0.9986899,0.0001003299,0.0007577019,0.00004015951,0.0003695073,4.870549e-7,0.00002480141,7.89134e-7,0.00001632461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5554558,"threshold_uncertainty_score":0.1645651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04117364192951305,"score_gpt":0.2588509398905629,"score_spread":0.2176772979610498,"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."}}