{"id":"W4386740790","doi":"10.1038/s43016-023-00843-5","title":"EU-27 ecological footprint was primarily driven by food consumption and exceeded regional biocapacity from 2004 to 2014","year":2023,"lang":"en","type":"article","venue":"Nature Food","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"MAVA Foundation","keywords":"Ecological footprint; Consumption (sociology); Environmental science; Food consumption; Natural resource economics; Economics; Ecology; Agricultural economics; Geography; Sustainability; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0001968028,0.0002478881,0.0002207868,0.00003361634,0.0001995831,0.00005082788,0.0002450658,0.0005074224,0.0006762988],"category_scores_gemma":[0.00009570293,0.0001883988,0.00008213354,0.0002301437,0.000301256,0.0001434459,0.0004229734,0.0005579733,0.0007125062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004732139,"about_ca_system_score_gemma":0.000008055439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009766664,"about_ca_topic_score_gemma":0.0003261635,"domain_scores_codex":[0.9982206,0.00008512908,0.0001991898,0.0006404849,0.0004134304,0.0004411949],"domain_scores_gemma":[0.999257,0.000110551,0.00006690979,0.0002451897,0.000006974504,0.0003133471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003093211,0.000856848,0.4064026,0.00004442581,0.0001703041,0.00002225922,0.001613057,0.00098767,0.09785163,0.0004828873,0.4847702,0.006488859],"study_design_scores_gemma":[0.0004770332,0.0007984955,0.9456797,0.000008450495,0.00002142011,0.000007656188,0.0002714216,0.00002726375,0.002935468,0.002321163,0.04714096,0.0003109369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934335,0.0002059822,0.00005116102,0.004770387,0.0001554476,0.0005553122,0.000153431,0.0001247072,0.0005500378],"genre_scores_gemma":[0.9975297,0.00007327219,0.0005285382,0.001338387,0.00006947844,0.00003213117,0.0001497075,0.00001329474,0.0002655129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5392772,"threshold_uncertainty_score":0.9158064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142412239983525,"score_gpt":0.2281298671074335,"score_spread":0.2167057447075982,"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."}}