{"id":"W3216343014","doi":"10.2495/sc210231","title":"GREENING THE GREY: IMPLEMENTING GREEN URBAN SOLUTIONS, AS ADAPTATION RESPONSE TO CLIMATE CHANGE, IN A PILOT PROJECT IN LEGAZPI, BASQUE COUNTRY, SPAIN","year":2021,"lang":"en","type":"article","venue":"WIT transactions on ecology and the environment","topic":"Urban Agriculture and Sustainability","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Greening; Climate change; Adaptation (eye); Computer science; Political science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001775561,0.0001279502,0.0001554773,0.00002555375,0.0005632305,0.00003049396,0.0001090292,0.00006711881,0.0001521294],"category_scores_gemma":[0.00003574929,0.00004718524,0.00004391868,0.0003055852,0.0001111713,0.00009051825,0.0000267022,0.000241226,0.00001059244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001362813,"about_ca_system_score_gemma":0.0000164457,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003238544,"about_ca_topic_score_gemma":0.08110336,"domain_scores_codex":[0.9979951,0.0009706445,0.000234661,0.0003036302,0.000118448,0.0003774523],"domain_scores_gemma":[0.9992422,0.0005762703,0.00004960866,0.00008445426,0.00001152438,0.00003590049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02114686,0.005741788,0.3471716,0.0001040889,0.0003389663,0.0003699996,0.05894569,0.005482748,0.02199267,0.01691203,0.0002970849,0.5214965],"study_design_scores_gemma":[0.0009329339,0.0006569553,0.9757845,0.0000184757,0.00003006361,0.00001878773,0.007599471,0.0007549895,0.0000646376,0.0004198024,0.01355957,0.000159824],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744121,0.0001595981,0.0001148033,0.02414839,0.00004229815,0.0009853493,0.00002813551,0.00001416775,0.00009515843],"genre_scores_gemma":[0.9978205,0.0001518765,0.00003211791,0.001126417,0.00003738224,0.0005183565,0.00001458333,0.000001265238,0.0002974916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6286129,"threshold_uncertainty_score":0.9356641,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02403233075372239,"score_gpt":0.2221995085753514,"score_spread":0.198167177821629,"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."}}