{"id":"W2030515486","doi":"10.1016/j.ecolind.2012.06.023","title":"Approaches for calculating a nation's food ecological footprint—The case of Canada","year":2012,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ecological footprint; Per capita; Sustainability; Food security; Hectare; Food systems; Agriculture; Footprint; Natural resource economics; Environmental resource management; Agricultural economics; Sustainable development; Sustainable agriculture; Resource (disambiguation); Geography; Economics; Ecology","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":[0.002671197,0.0006637805,0.0005194294,0.00559317,0.004031329,0.006942628,0.003119203,0.001235338,0.00331776],"category_scores_gemma":[0.009040275,0.0003489398,0.001007925,0.01281473,0.00282166,0.001978608,0.002310759,0.00180992,0.0001274287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06056128,"about_ca_system_score_gemma":0.04952725,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9822036,"about_ca_topic_score_gemma":0.9894008,"domain_scores_codex":[0.9983506,0.0005295415,0.00006118283,0.0001080181,0.0006574538,0.0002932147],"domain_scores_gemma":[0.9977563,0.0007781471,0.000111609,0.0001338996,0.001060437,0.0001596611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003442637,0.0000530101,0.01681942,0.0001842947,0.0001519748,0.0003374137,0.001858894,0.171566,0.0002577725,0.7240774,0.008307535,0.07635199],"study_design_scores_gemma":[0.00003537017,0.00003506852,0.03047061,0.0005986828,0.0002535551,0.0003690606,0.01365524,0.4579844,0.001105666,0.401741,0.09352842,0.000222902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3437642,0.007225001,0.3017796,0.01840272,0.0002361592,0.0006030267,0.003997261,0.000491488,0.3235005],"genre_scores_gemma":[0.7629049,0.002747005,0.2213243,0.0002567933,0.0000177927,0.0001620902,0.0006450489,0.0001344642,0.01180761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06056128,"threshold_uncertainty_score":0.4394049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03752584753389601,"score_gpt":0.242166814370585,"score_spread":0.204640966836689,"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."}}