{"id":"W1982893247","doi":"10.1007/s10460-009-9204-y","title":"Linking future population food requirements for health with local production in Waterloo Region, Canada","year":2009,"lang":"en","type":"article","venue":"Agriculture and Human Values","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Regional Municipality of Waterloo; York University; Wilfrid Laurier University","funders":"","keywords":"Agriculture; Production (economics); Population; Hectare; Food processing; Food systems; Food security; Business; Agricultural productivity; Agricultural economics; Geography; Environmental planning; Natural resource economics; Environmental resource management; Agricultural science; Environmental health; Economics; Environmental science; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0006655307,0.0002034179,0.0003131826,0.0008526187,0.002312027,0.001581965,0.001362596,0.0004055042,0.004015744],"category_scores_gemma":[0.001996536,0.0002494258,0.0005556282,0.002469476,0.000638149,0.0004626995,0.0007854795,0.0006886908,0.0002572241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05378204,"about_ca_system_score_gemma":0.04676694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9990398,"about_ca_topic_score_gemma":0.9996604,"domain_scores_codex":[0.9994546,0.00006465701,0.00002640714,0.00006575618,0.0001283628,0.0002602635],"domain_scores_gemma":[0.9980714,0.0001577397,0.0001800695,0.0000391162,0.001008252,0.0005435392],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001693467,0.00008874415,0.9703662,0.00008140996,0.0001174816,0.0002486504,0.002568752,0.002502762,0.0003423038,0.001422758,0.007331283,0.01476034],"study_design_scores_gemma":[0.00001313421,0.00002435761,0.9868721,0.0000555448,0.00004819221,0.00004980889,0.006758416,0.001955406,0.000128924,0.0002194082,0.003856313,0.00001847358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9824308,0.0006683812,0.0003759299,0.002057004,0.00001748701,0.00006186376,0.00712667,0.00003212953,0.007229713],"genre_scores_gemma":[0.9931285,0.0003994193,0.0004223088,0.0001205172,0.000004122716,0.00002367198,0.001306478,0.000007488026,0.004587493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05378204,"threshold_uncertainty_score":0.3902178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00902146100863905,"score_gpt":0.2259323345710825,"score_spread":0.2169108735624435,"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."}}