{"id":"W2774622518","doi":"10.1016/j.envres.2017.11.038","title":"Nature-based solutions for resilient landscapes and cities","year":2017,"lang":"en","type":"article","venue":"Environmental Research","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":433,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"European Commission","keywords":"Ecosystem services; Sustainability; Resilience (materials science); European commission; Environmental planning; Environmental resource management; Green infrastructure; Business; Face (sociological concept); Psychological resilience; Commission; Ecosystem; Ecology; Environmental science; Sociology; European union","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007693742,0.00009444499,0.00009789888,0.00003500861,0.002050382,0.000168611,0.0003739271,0.00009993045,0.001008638],"category_scores_gemma":[0.00004817919,0.00007562365,0.00003894979,0.00002182879,0.0001801008,0.0002311519,0.0005448866,0.0001985285,0.0003175527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065641,"about_ca_system_score_gemma":0.000006608677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002229714,"about_ca_topic_score_gemma":0.001015378,"domain_scores_codex":[0.9986057,0.00005158629,0.0001040039,0.0003147929,0.0004224463,0.0005014699],"domain_scores_gemma":[0.9992502,0.0001453657,0.0000411931,0.0004335884,0.000002085597,0.0001275923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000264205,0.0003618802,0.9570212,0.0001162279,0.00003861133,0.00001779051,0.0004397601,0.0004670318,0.01794473,0.0004657471,0.007463905,0.01539892],"study_design_scores_gemma":[0.001378257,0.0003149247,0.8818797,0.00004640036,0.00001424797,0.000005154866,0.0005003143,0.01379151,0.008808217,0.004425471,0.08851755,0.0003182357],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928393,0.0002823288,0.00002563277,0.001134526,0.00006895491,0.0003456558,0.00005668532,0.00001237999,0.005234521],"genre_scores_gemma":[0.9988019,0.000106306,0.000165548,0.00006790902,0.00006686398,0.0001045995,0.00001850364,0.00001275661,0.0006556323],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08105364,"threshold_uncertainty_score":0.9999046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0360564071947049,"score_gpt":0.3123241531554097,"score_spread":0.2762677459607048,"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."}}