{"id":"W7132880477","doi":"","title":"Edible backyards: Residential land use for food production in Toronto","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food security; Food processing; Sustainability; Food systems; Production (economics); Urban agriculture; Land use; Sustainable agriculture","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":[0.0001211473,0.0001564513,0.0001174497,0.0005255505,0.002635587,0.001121715,0.0003063289,0.000206293,0.006255026],"category_scores_gemma":[0.0006373412,0.0001474419,0.0001637992,0.001768367,0.0007902089,0.0003910683,0.001012273,0.0002239256,0.0002127293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01698896,"about_ca_system_score_gemma":0.007469646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.950806,"about_ca_topic_score_gemma":0.9892565,"domain_scores_codex":[0.9998343,0.00002519411,0.00000779823,0.00002136604,0.00004499463,0.00006627933],"domain_scores_gemma":[0.9996808,0.00004455942,0.00007307475,0.00001062287,0.00006155635,0.0001293875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002273802,0.00006873052,0.6928347,0.0007345186,0.00005066528,0.004841814,0.2229076,0.001032813,0.004421355,0.004854571,0.009983443,0.05804237],"study_design_scores_gemma":[0.000002979193,0.0000303798,0.892678,0.00007797994,0.00001230966,0.000165693,0.09505493,0.0001883949,0.0001758126,0.00009811405,0.01150392,0.00001153447],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860168,0.0009387659,0.00006067105,0.00044023,0.000006699575,0.00001977442,0.001030388,0.000005539559,0.01148124],"genre_scores_gemma":[0.9956669,0.0005498617,0.00009453909,0.00001979024,0.0000018178,0.000009060578,0.0002224789,0.000002226223,0.003433421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04919404,"threshold_uncertainty_score":0.1232641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940634286389305,"score_gpt":0.3246940583860222,"score_spread":0.2952877155221292,"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."}}