{"id":"W2990541623","doi":"10.15353/cfs-rcea.v6i3.354","title":"Uncovering hidden urban bounty: A case study of Hidden Harvest","year":2019,"lang":"en","type":"article","venue":"Canadian Food Studies / La Revue canadienne des études sur l alimentation","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Food sovereignty; Sustainability; Food security; Business; Urban agriculture; Food systems; Profit (economics); Marketing; Geography; Agriculture; Economics; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001788327,0.0007334995,0.0005186867,0.001235328,0.02447405,0.0035051,0.003035485,0.003624207,0.004510381],"category_scores_gemma":[0.003345622,0.0005951631,0.0005620195,0.00166936,0.01071007,0.002689848,0.007896085,0.004025983,0.0003932825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009886024,"about_ca_system_score_gemma":0.008772629,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1693935,"about_ca_topic_score_gemma":0.5181926,"domain_scores_codex":[0.9980292,0.0008320633,0.00004648832,0.0001863657,0.0002383972,0.0006674114],"domain_scores_gemma":[0.9978817,0.0007776413,0.0002244465,0.0001868157,0.0001614621,0.0007679558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000113101,0.0003838279,0.02571293,0.0002491768,0.00003450138,0.05510764,0.874186,0.000637864,0.001186414,0.01847891,0.008340633,0.0155691],"study_design_scores_gemma":[0.000007465877,0.00006891286,0.008327891,0.0002094909,0.00001968261,0.005416682,0.943686,0.0006454528,0.0004837506,0.001931486,0.0391734,0.00002988661],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9673149,0.0006046069,0.002981546,0.007316421,0.0001136574,0.0002091154,0.0001989949,0.00003749311,0.02122318],"genre_scores_gemma":[0.9848614,0.0007069578,0.002648797,0.0009706244,0.00002291285,0.00009046251,0.00009045156,0.00004082874,0.0105676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8306066,"threshold_uncertainty_score":0.3368149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911294934773578,"score_gpt":0.2202244005396551,"score_spread":0.1911114511919193,"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."}}