{"id":"W4408431496","doi":"10.5194/egusphere-egu25-12729","title":"Developing Blue-Green Infrastructure: Advantages and Challenges Through Natural Capital, Ecosystem Services, and Machine Learning","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Ecosystem services; Natural capital; Natural (archaeology); Green infrastructure; Business; Natural resource economics; Ecosystem; Environmental resource management; Environmental science; Economics; Geography; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00196234,0.0004820806,0.0003367494,0.001145598,0.0006895767,0.004325056,0.001011905,0.001595715,0.002624389],"category_scores_gemma":[0.003173123,0.0001571036,0.00032471,0.001407561,0.002816128,0.006789343,0.002486706,0.002544092,0.0006716672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001698922,"about_ca_system_score_gemma":0.001849837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003931056,"about_ca_topic_score_gemma":0.005285557,"domain_scores_codex":[0.9993051,0.0002639274,0.00001967872,0.0001243038,0.000183086,0.00010393],"domain_scores_gemma":[0.997615,0.001563919,0.000178598,0.0001391512,0.0002523206,0.0002510078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005291959,0.00023341,0.006713329,0.0005696393,0.00006607849,0.0001726285,0.000463293,0.02640601,0.001591968,0.4456972,0.02430511,0.4937285],"study_design_scores_gemma":[0.00001321162,0.00008846635,0.003815321,0.0004198936,0.00002670191,0.0001093739,0.0009888153,0.1987792,0.002052598,0.6943607,0.09928079,0.00006493717],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1008719,0.07504778,0.4310737,0.2060671,0.001342578,0.0001407819,0.0004068957,0.001180235,0.1838689],"genre_scores_gemma":[0.7984335,0.03801258,0.1360335,0.00434993,0.001291436,0.000131574,0.0002556173,0.000139653,0.02135219],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004325056,"threshold_uncertainty_score":0.01232666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01568983125130177,"score_gpt":0.2297987993683999,"score_spread":0.2141089681170981,"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."}}