{"id":"W2795032162","doi":"10.1111/cag.12454","title":"Conceptualizing waste as a resource: Urban biosolids processing in the rural landscape","year":2018,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Biosolids; Resource (disambiguation); Natural resource; Product (mathematics); Environmental planning; Geography; Fertilizer; Resource recovery; Environmental resource management; Environmental science; Environmental engineering; Wastewater; Political science; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005020332,0.0003868076,0.0003284004,0.0004249933,0.001266625,0.0003362183,0.0008879784,0.0002216804,0.000191417],"category_scores_gemma":[0.000125135,0.0001518291,0.000238477,0.006936684,0.001622668,0.0002644816,0.00005219274,0.0003156514,0.00001140259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006658331,"about_ca_system_score_gemma":0.00008452167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4677032,"about_ca_topic_score_gemma":0.9894717,"domain_scores_codex":[0.9971541,0.0002177182,0.0003929513,0.0005293409,0.0002881744,0.001417779],"domain_scores_gemma":[0.9986919,0.00014585,0.0001131189,0.0002151638,0.00023409,0.0005998835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008871853,0.0000897195,0.8172346,0.0000516602,0.000063094,0.0002396418,0.02150366,0.000003569141,0.0008650854,0.007963322,0.1076386,0.04425832],"study_design_scores_gemma":[0.0002468301,0.0005378405,0.3241022,0.00007779578,0.00003807336,0.00008787042,0.2897856,0.00001656392,0.00004123397,0.001668291,0.3827069,0.0006908457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982797,0.002761275,7.9569e-8,0.004542731,0.0001534154,0.0004805085,0.00007237945,0.00008040721,0.009112169],"genre_scores_gemma":[0.9958256,0.0000894526,0.000006684763,0.002829538,0.000819143,0.00007855097,0.0001220809,0.000004138552,0.0002247599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5217685,"threshold_uncertainty_score":0.9741983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007926238775641019,"score_gpt":0.1893952444846954,"score_spread":0.1814690057090544,"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."}}