{"id":"W2792905396","doi":"","title":"No. 03: The Urban Food System of Cape Town, South Africa","year":2017,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; International Development Research Centre","keywords":"Cape; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0002393792,0.0002760863,0.000109794,0.0006831481,0.0036114,0.002610105,0.0005738055,0.0004845626,0.04361513],"category_scores_gemma":[0.0007880684,0.0002178587,0.00009956184,0.001652587,0.001195531,0.0008752546,0.00152454,0.0004174158,0.001656221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004259931,"about_ca_system_score_gemma":0.004727602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1489757,"about_ca_topic_score_gemma":0.2680737,"domain_scores_codex":[0.9997622,0.00004271118,0.00001098132,0.00003727276,0.0000485968,0.00009817806],"domain_scores_gemma":[0.9997465,0.00003639682,0.00004718443,0.00001584383,0.0000427057,0.0001113863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000386542,0.0002474046,0.1322764,0.002589549,0.00006515034,0.02855015,0.1408097,0.001476568,0.02423744,0.1064495,0.2266832,0.3362283],"study_design_scores_gemma":[0.0000226204,0.00006854706,0.2690354,0.0004125003,0.00001272798,0.002311877,0.03767537,0.0002941877,0.0008786676,0.00189919,0.6873521,0.00003687307],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6803024,0.004354319,0.000992615,0.008192407,0.000270728,0.0008134301,0.004534673,0.0001090065,0.3004305],"genre_scores_gemma":[0.8330905,0.002195612,0.001816587,0.0006372141,0.00006616787,0.0003009826,0.001104136,0.00005172341,0.160737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1489757,"threshold_uncertainty_score":0.2962171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722728797208515,"score_gpt":0.177511708386751,"score_spread":0.1602844204146659,"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."}}