{"id":"W2891538718","doi":"10.1016/j.resconrec.2018.09.002","title":"Challenges of value creation in Eco-Industrial Parks (EIPs): A stakeholder perspective for optimizing energy exchanges","year":2018,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Sustainable Industrial Ecology","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Campus France; Mitacs","keywords":"Industrial symbiosis; Industrial ecology; Circular economy; Industrial park; Environmental economics; Profitability index; Resilience (materials science); Business; Stakeholder; Added value; Computer science; Environmental resource management; Industrial organization; Sustainability; Environmental science; Engineering; Ecology; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004847695,0.0001301559,0.0002528662,0.000274533,0.00007779681,0.00002361337,0.00006812097,0.0002754332,0.00001355455],"category_scores_gemma":[0.0003936003,0.0001370378,0.00003382053,0.0001842865,0.00009260153,0.0001130802,0.0000216515,0.0001216759,2.785915e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603031,"about_ca_system_score_gemma":0.00004035352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003927444,"about_ca_topic_score_gemma":0.0007071731,"domain_scores_codex":[0.9990553,0.0000888572,0.0003259657,0.0002150542,0.00008303152,0.0002318365],"domain_scores_gemma":[0.9990735,0.0005099992,0.0001047604,0.0001063784,0.000162266,0.0000430845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002662496,0.0003470724,0.01113268,0.000944357,0.0008521701,0.00002498445,0.09496875,0.1752176,0.008448896,0.1309018,0.002126656,0.5723726],"study_design_scores_gemma":[0.01062144,0.001147186,0.007670568,0.0009054227,0.0001499381,0.00002132308,0.1246951,0.7441489,0.0141892,0.007649578,0.08771727,0.001084078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863898,0.002146676,0.002203715,0.002019831,0.0003781782,0.0004129331,0.000006281886,0.0001057991,0.006336823],"genre_scores_gemma":[0.9976352,0.0006869463,0.0008689254,0.00006012743,0.0005543364,0.00006343023,0.00000576467,0.00002794245,0.00009726964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5712885,"threshold_uncertainty_score":0.5588241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0860863372274279,"score_gpt":0.2753895062253523,"score_spread":0.1893031689979244,"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."}}