{"id":"W3170196945","doi":"10.3390/su13116400","title":"Maximizing Benefits to Nature and Society in Techno-Ecological Innovation for Water","year":2021,"lang":"en","type":"article","venue":"Sustainability","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Victoria","funders":"Canada Research Chairs","keywords":"Ecosystem services; Naturalness; Environmental resource management; Business; Work (physics); Ecosystem; Environmental economics; Ecology; Environmental science; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004297194,0.0005447392,0.0004172903,0.001741446,0.001847167,0.005784424,0.0007859704,0.002343274,0.003230265],"category_scores_gemma":[0.004616417,0.0002100216,0.0008869776,0.001368772,0.00868308,0.007380259,0.005404295,0.001470781,0.0001987464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005388075,"about_ca_system_score_gemma":0.003782694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001103665,"about_ca_topic_score_gemma":0.002340602,"domain_scores_codex":[0.9971712,0.001407562,0.0001004197,0.0003060156,0.0005178335,0.0004969222],"domain_scores_gemma":[0.9963142,0.001934254,0.0005748256,0.0004452277,0.0003915759,0.0003398894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002118021,0.00009202943,0.003314701,0.0001784241,0.00004007567,0.00009191137,0.0008026184,0.007111165,0.001348471,0.9686507,0.00026967,0.01807912],"study_design_scores_gemma":[0.00001181435,0.0001106809,0.007496317,0.0002721363,0.00006304208,0.0001389127,0.002697611,0.01386525,0.001733632,0.9551528,0.01842875,0.00002911968],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.318018,0.003071317,0.3793533,0.0168457,0.0001473355,0.0004028518,0.0001104184,0.0001329313,0.2819183],"genre_scores_gemma":[0.9777753,0.0007688263,0.01893965,0.0002301771,0.0000268427,0.0001436005,0.00001186628,0.000009907079,0.002093841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005784424,"threshold_uncertainty_score":0.03909343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006147317145697515,"score_gpt":0.2387321184576056,"score_spread":0.2325848013119081,"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."}}