{"id":"W2886267901","doi":"","title":"Developing successful food security projects around and in cities","year":2019,"lang":"en","type":"article","venue":"Journal of Food Processing & Technology","topic":"Agriculture and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Business; Relation (database); Malnutrition; Public relations; Engineering ethics; Political science; Agriculture; Engineering; Economic growth; Computer science; Economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003136089,0.0001320584,0.0002856785,0.0001295725,0.0001089945,0.00008834115,0.0003099762,0.0002162895,0.00001770127],"category_scores_gemma":[0.00005468683,0.00004693285,0.00003448602,0.0008897864,0.0000889135,0.0003331475,0.0001224533,0.0004441948,0.000003913011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006424483,"about_ca_system_score_gemma":0.00008588213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000796221,"about_ca_topic_score_gemma":0.000244267,"domain_scores_codex":[0.9988804,0.00003148487,0.0003513081,0.0001811514,0.000245335,0.0003103107],"domain_scores_gemma":[0.9994243,0.00005713471,0.0002424456,0.00002756869,0.0002049552,0.00004360109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002866516,0.0002317382,0.5171759,0.0004871406,0.000126842,0.00007131295,0.001629541,0.000003600901,0.07917643,0.005628023,0.0004747274,0.3947081],"study_design_scores_gemma":[0.002376259,0.01160519,0.5675246,0.002743416,0.00004674361,0.002325952,0.03856379,0.00006355507,0.1076227,0.2337287,0.03187054,0.001528588],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9878341,0.002530677,0.00000526634,0.00909299,0.00006433635,0.0001487687,0.000001493949,0.00002687358,0.0002955096],"genre_scores_gemma":[0.9992487,0.0002173168,0.0003231298,0.00007474479,0.00007624683,0.000004494162,0.000001763635,0.000001001831,0.00005253297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3931795,"threshold_uncertainty_score":0.192983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02064248665716686,"score_gpt":0.2484586493004346,"score_spread":0.2278161626432677,"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."}}