{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001668221,0.0005558385,0.0002545929,0.000491344,0.001084288,0.001195539,0.000939459,0.000868688,0.002275006],"category_scores_gemma":[0.001487401,0.0001944963,0.0003250042,0.0004590105,0.001357857,0.000546446,0.001461947,0.0004769912,0.0002910552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002277241,"about_ca_system_score_gemma":0.003389749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01467541,"about_ca_topic_score_gemma":0.02932445,"domain_scores_codex":[0.9991568,0.0003823535,0.00001461178,0.00008052096,0.0001306906,0.0002349505],"domain_scores_gemma":[0.9993914,0.0002059093,0.00004767017,0.00006540069,0.0001009804,0.0001885825],"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":[0.002977418,0.01032915,0.04088604,0.002510313,0.0001532593,0.01337471,0.04871866,0.05096503,0.08941757,0.01230183,0.01096804,0.717398],"study_design_scores_gemma":[0.001950071,0.03524763,0.3347608,0.0007577569,0.0004097704,0.002579722,0.1569202,0.04412806,0.07727656,0.01155347,0.3340466,0.0003693718],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.984392,0.0001349734,0.004252702,0.0002207284,0.00002071264,0.0004374889,0.00009468934,0.0001860584,0.01026045],"genre_scores_gemma":[0.9730047,0.0003080528,0.0173715,0.00009853898,0.000007516771,0.0003388824,0.0001944181,0.0000684089,0.00860793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01467541,"threshold_uncertainty_score":0.02917999,"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."}}