{"id":"W4406869091","doi":"10.69628/esbur/2.2024.36","title":"Design thinking to avoid maladaptation in building climate change resilience of urban areas","year":2024,"lang":"en","type":"article","venue":"Ecological Safety and Balanced Use of Resources","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maladaptation; Resilience (materials science); Climate change; Environmental resource management; Environmental planning; Geography; Environmental science; Psychology; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004568165,0.0001158271,0.0002280166,0.0001461319,0.0000472316,0.00004177195,0.0001017935,0.00008205509,0.00001651605],"category_scores_gemma":[0.00007871392,0.00009522434,0.0000298859,0.0003394095,0.00003664584,0.0001633403,0.00005651749,0.0001247982,9.114144e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006151314,"about_ca_system_score_gemma":0.000007264071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001280172,"about_ca_topic_score_gemma":0.00000406311,"domain_scores_codex":[0.9990818,0.00006566983,0.0002698567,0.0001939804,0.0001367028,0.0002520069],"domain_scores_gemma":[0.9993299,0.0004884428,0.00003345652,0.00008116681,0.00001672198,0.00005032936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007933423,0.0001595777,0.06571893,0.002299292,0.00007801088,0.0001983038,0.009980242,0.7949519,0.0415461,0.03279099,0.0001742857,0.05130908],"study_design_scores_gemma":[0.0004845588,0.0005645389,0.7252241,0.001955377,0.00002802759,0.000007493798,0.0008833771,0.2581843,0.005346658,0.002652699,0.004237905,0.0004310069],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669371,0.001139901,0.03104981,0.0001459733,0.00008307027,0.0003348604,0.000006724634,0.000129854,0.0001727564],"genre_scores_gemma":[0.9885411,0.0007273022,0.01061376,0.00003555838,0.0000327287,0.00002545535,0.000001310842,0.00001024766,0.00001254258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6595052,"threshold_uncertainty_score":0.3883136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405143152061499,"score_gpt":0.2442634507643699,"score_spread":0.2202120192437549,"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."}}