{"id":"W2901091117","doi":"10.1016/j.jenvman.2018.09.099","title":"Modeling sustainability visions: A case study of multi-scale food systems in Southwestern Ontario","year":2018,"lang":"en","type":"review","venue":"Journal of Environmental Management","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vision; Sustainability; Systems thinking; Food systems; Process management; Scale (ratio); Process (computing); Systems design; Citizen journalism; Computer science; Environmental resource management; Management science; Environmental economics; Business; Engineering; Systems engineering; Geography; Economics; Artificial intelligence; Ecology; Sociology; Food security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009771253,0.0003959221,0.001368361,0.00008342593,0.000102753,0.00005524757,0.0004735108,0.0001774036,0.00005910614],"category_scores_gemma":[0.00001053862,0.0001456508,0.0005072613,0.0002411605,0.00006129195,0.0001602099,0.000410799,0.0004182731,0.000003118675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676007,"about_ca_system_score_gemma":0.00002787844,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008255415,"about_ca_topic_score_gemma":0.05502964,"domain_scores_codex":[0.99665,0.0003730135,0.001714711,0.0004412318,0.0004964671,0.0003246036],"domain_scores_gemma":[0.9987436,0.00006924311,0.0008182604,0.0001856041,0.00005280579,0.0001304885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.000156515,0.02739289,0.031502,0.01232719,0.001648023,0.008277271,0.008889823,0.001880419,0.000005796118,0.000006994095,0.00009662388,0.9078165],"study_design_scores_gemma":[0.004003855,0.01829554,0.03135801,0.009130338,0.005162753,0.003711886,0.538821,0.0005590922,3.404392e-7,0.0001364002,0.3864791,0.002341612],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6045923,0.3934378,0.000005855215,0.000004276252,0.0001158304,0.001807414,0.00001933053,0.000004091262,0.00001312649],"genre_scores_gemma":[0.7623841,0.2369321,0.00005196455,0.000004700498,0.0001387613,0.00006896893,0.00001202237,0.000004227168,0.00040325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9054748,"threshold_uncertainty_score":0.9983487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04216171742954458,"score_gpt":0.2614320090903203,"score_spread":0.2192702916607757,"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."}}