{"id":"W3158337350","doi":"10.1111/geoj.12392","title":"Bioengineering, telecoupling, and alternative dairy: Agricultural land use futures in the Anthropocene","year":2021,"lang":"en","type":"article","venue":"Geographical Journal","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of the Fraser Valley","funders":"Government of Canada","keywords":"Sustainability; Consumption (sociology); Agriculture; Production (economics); Futures contract; Land use; Business; Natural resource economics; Agricultural economics; Environmental resource management; Economics; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000254425,0.0001491546,0.0001297485,0.00002832432,0.0003388295,0.0002616811,0.0001655793,0.00007579848,0.0003598876],"category_scores_gemma":[0.00007178453,0.00007691925,0.00008329855,0.0003688523,0.0003566155,0.0003599717,0.000126679,0.0005280272,0.000006785766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006565236,"about_ca_system_score_gemma":0.000005469372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002849795,"about_ca_topic_score_gemma":0.0003817329,"domain_scores_codex":[0.9988685,0.00009366033,0.0001830533,0.0002135312,0.0003136298,0.0003276182],"domain_scores_gemma":[0.9996231,0.00006870552,0.00005005819,0.0001082324,0.000008422725,0.0001414569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001390625,0.0001819399,0.9893322,0.000004694453,0.00002515467,0.0002809482,0.001025807,0.003462399,0.0008312034,0.00005399994,0.0009560933,0.00383165],"study_design_scores_gemma":[0.0002875454,0.00006999682,0.9924573,0.00001034042,0.00001378293,0.001071966,0.001993873,0.0001142606,0.0001455746,0.0006471849,0.003052187,0.0001359941],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970692,0.0004379553,0.00009244322,0.002068809,0.00008721384,0.00008234138,0.000004074614,0.000009118373,0.0001488333],"genre_scores_gemma":[0.9982749,0.0008496941,0.000327523,0.0003879528,0.0001269103,0.000003159181,0.00000590572,0.000004832897,0.00001914067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003695656,"threshold_uncertainty_score":0.3940516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006553702685976596,"score_gpt":0.2151582232041025,"score_spread":0.2086045205181259,"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."}}