{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01340101,0.000822562,0.0004560611,0.0007514288,0.02230876,0.01247449,0.003026107,0.002839882,0.009389135],"category_scores_gemma":[0.009419857,0.0008064974,0.0005211398,0.001394629,0.009670047,0.004307015,0.01794842,0.003165607,0.001156491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02227435,"about_ca_system_score_gemma":0.07377297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1125193,"about_ca_topic_score_gemma":0.2876869,"domain_scores_codex":[0.9909182,0.004072273,0.0001657448,0.0004602118,0.0006245479,0.00375904],"domain_scores_gemma":[0.9878353,0.001724175,0.0007797561,0.0006131061,0.001666735,0.007380756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003380296,0.001770812,0.04800943,0.00131619,0.0001185609,0.007333291,0.508561,0.008944173,0.006841337,0.185003,0.05084897,0.1809153],"study_design_scores_gemma":[0.0001258959,0.0004373142,0.02977864,0.0006241481,0.00003480992,0.0003251095,0.7349793,0.001270341,0.001920682,0.009636977,0.220787,0.00007980421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675218,0.001035558,0.005802986,0.01752922,0.0001845902,0.001692272,0.0001180355,0.0001488118,0.1059668],"genre_scores_gemma":[0.9687138,0.0009054306,0.008245916,0.0005117627,0.00001408424,0.0006017074,0.0001302391,0.00005368609,0.02082335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1125193,"threshold_uncertainty_score":0.2237288,"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."}}