{"id":"W4412191985","doi":"10.1007/s43615-025-00651-y","title":"3E + 3B: An Elaborated One Health Approach to Bridging the Researcher-Stakeholder Disconnect at the Food-energy-water Nexus Within Circular Bioeconomies","year":2025,"lang":"en","type":"article","venue":"Circular Economy and Sustainability","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Division of Chemical, Bioengineering, Environmental, and Transport Systems; National Science Foundation","keywords":"Bridging (networking); Nexus (standard); Water energy; Stakeholder; Sociology; Political science; Public relations; Engineering; Environmental science; Computer science; Water resource management","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003177981,0.0003858971,0.000433542,0.00005997214,0.001857803,0.0003437842,0.0006316297,0.0001504669,0.0002272321],"category_scores_gemma":[0.0001812806,0.0002229675,0.0001350944,0.0004423017,0.00148345,0.0007028991,0.0009276292,0.0004076846,0.00001984334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003466763,"about_ca_system_score_gemma":0.0001731449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003446876,"about_ca_topic_score_gemma":0.0009759875,"domain_scores_codex":[0.9961631,0.0009280441,0.0005627563,0.00113686,0.000205037,0.001004158],"domain_scores_gemma":[0.9980669,0.0001183241,0.0001078935,0.001274017,0.00004504548,0.0003878205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008576651,0.004705034,0.536604,0.002899791,0.001375142,0.00003774207,0.08946212,0.2549015,0.001471686,0.04432676,0.009073283,0.05428524],"study_design_scores_gemma":[0.001711989,0.0008784071,0.624175,0.00003527235,0.0001444305,0.00005348857,0.1244477,0.00732577,0.002907617,0.1403049,0.09639442,0.00162108],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.964238,0.0005564942,0.00441837,0.02554898,0.00005169682,0.001769164,0.0000226026,0.00005912837,0.003335536],"genre_scores_gemma":[0.9954211,0.00001234884,0.00004140184,0.003233765,0.00004649349,0.0002928487,0.00008252842,0.00002145702,0.0008481152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2475757,"threshold_uncertainty_score":0.9994416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02478462061616667,"score_gpt":0.2453044218460899,"score_spread":0.2205198012299232,"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."}}